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  <div>With Thanksgiving just around the corner, many of us are gearing up for a season of festive meals, delicious treats, and—let's be honest—a bit of calorie overload. Balancing the joy of holiday feasting with mindful eating can be challenging, especially when we want to enjoy every bite without overindulging. We’ve all been there, trying to estimate calories, decipher food labels, or second-guess our portion sizes. Imagine being able to make informed dietary decisions as simply as taking a picture of your plate. That’s where AI Calorie Coach comes in. <br /><br /></div><div>For health-conscious individuals and dietitians alike, accurate calorie tracking can be a game-changer in promoting healthier eating habits and achieving fitness goals, even during the holiday season. But manually tracking every dish or estimating the nutritional content of complex holiday spreads can feel overwhelming. Using the Llama-3.2-90B-Vision-Instruct model and generative AI, the AI Calorie Coach instantly analyzes food images to provide precise calorie counts and dietary advice. This project bridges the gap between technology and nutrition, empowering learners to enjoy the holiday season without sacrificing their wellness goals.</div><div><br /><br /></div><h1>Who should complete this project?</h1><div>This project is ideal for technology enthusiasts, dietetics students, and anyone passionate about combining health and technology to solve real-world problems. If you’re someone who loves the idea of applying AI to everyday tasks and wants to make a tangible impact on promoting healthy living, this guided project is perfect for you. Whether you’re interested in technology and its application in the wellness industry or you’re simply keen on learning how to build AI-driven solutions for everyday challenges, this project will provide you with valuable skills and insights.</div><h1><br /></h1><h1>What you'll learn</h1><div>After completing this project, you will:</div><ul><li><strong>Understand how to use the Llama-3.2-90B-Vision-Instruct Model</strong> for recognizing food items and estimating their nutritional values based on images.</li><li><strong>Know how to integrate AI models with nutritional databases</strong> to analyze food images effectively and accurately.</li><li><strong>Have the ability to provide instant calorie counts</strong> and offer personalized dietary recommendations, which can assist in meal planning and encourage healthier lifestyle choices.</li><li><strong>Know how to build a simple web interface using Flask</strong> that allows users to easily interact with your application.</li></ul><div><br /></div><h1>What you'll need</h1><div>Before starting this guided project, you should have:</div><ul><li>A <strong>basic understanding of AI and machine learning concepts</strong> to help you grasp the essentials of how the AI models work.</li><li><strong>Familiarity with Python programming</strong>, as you’ll be writing code to implement parts of the AI model.</li><li><strong>Access to a modern web browser</strong>, such as Chrome, Edge, Firefox, Internet Explorer, or Safari. The IBM Skills Network Labs environment is optimized for these platforms, providing a smooth experience.</li></ul><div><br /></div><h1>Hands-on experience for real-world impact</h1><div>Throughout this project, you’ll not only learn about AI model integration and image recognition but also experience how such technologies can be applied in meaningful ways to enhance everyday health practices. By the time you complete the project, you will have a functional AI-powered solution that can be deployed to help people make better dietary decisions instantly, bringing advanced AI capabilities directly to users’ fingertips and promoting healthier lifestyle choices. Whether for personal use or to enhance your professional skills, this engaging project will empower you to make real-world changes in how you approach health and nutrition.</div>
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AI Calorie Coach: Image-Based Nutrition Guide with Llama 3.2

Use the Llama-3.2-90B-Vision-Instruct Model and generative AI to build an AI Calorie Coach that estimates caloric content from food images. Learn to integrate visual recognition with nutritional databases to deliver instant calorie counts and personalized dietary advice. This guided project empowers you to use AI for promoting healthier lifestyle choices, offering hands-on experience in applying advanced AI models to real-world dietary management. Ideal for tech-savvy health enthusiasts and dietetics students, you can complete this project in just 60 minutes.

<div>&nbsp;&nbsp;</div><div>Prepare for a career in the high-growth field of product management. In this program, you’ll learn in-demand skills like market research, strategic planning, and stakeholder communication to get job-ready in less than 3 months, with no prior experience needed to get started.&nbsp;</div><div>&nbsp;</div><div><strong>You will learn to:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Apply key product management skills, tools, and techniques to engage and manage key stakeholders and clients&nbsp;</li><li>Identify product strategy development and implementation methods and best practices to ensure the right product is produced&nbsp;</li><li>Identify product strategy development and implementation methods and best practices to ensure the right product is produced&nbsp;</li><li>Identify product strategy development and implementation methods and best practices to ensure the right product is produced&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>A product manager is responsible for guiding the development and success of a product or product line. You act as a bridge between the customers, stakeholders, and development team, working to understand market needs, define product goals and features, and then oversee the product’s life cycle from conception to release.&nbsp;</div><div>This program will teach you the foundational skills employers are seeking for entry level product manager roles, including product strategy, development, and lifecycle management. This program will not only help you start your career in product management, but also provides a strong foundation for future career development in other paths such as healthcare, education, and finance.&nbsp;</div><div>In addition, to prepare you to work in a variety of project environments, the program will delve into different product management methodologies, including Agile. The program is based on providing real-world experience through a series of projects that enable you to build a product management portfolio to use when searching for a product manager position. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.&nbsp;</div><div>&nbsp;</div><div>This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you’ll take the theory and skills you’ve gained and apply it to real-world scenarios. You will build an initial product concept, vision, and project charter as well as create a checklist to effectively develop, qualify, launch, deliver, and retire a product. You will also create a product backlog using the sprint planning process and create burndown charts to forecast the ability to meet a sprint goal. &nbsp;</div><div>&nbsp;</div><div>The final course in this program is a capstone course that includes a peer-graded comprehensive final project and a graded mock Certified Product Manager Certification examination.&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is designed for beginners and is ideal for those seeking to transition into the field of product management without prior experience. While there are no mandatory prerequisites, familiarity with general business concepts and project management fundamentals can be helpful but is not required.&nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>Professionals with product management skills are in high demand, with opportunities growing across diverse industries such as tech, healthcare, and finance. Here are some key industry insights on the career potential in product management:&nbsp;</div><ul><li>The demand for product managers has grown by 32% over the past five years, with high projected growth continuing as more companies adopt a product-focused strategy (source: Burning Glass Technologies).&nbsp;</li><li>Entry-level product managers in the U.S. earn an average starting salary of $81,000, with experienced professionals earning over $120,000 annually (source: Glassdoor).&nbsp;</li><li>According to LinkedIn’s 2023 Jobs on the Rise report, product management ranks as one of the top emerging roles globally, reflecting a strong market demand (source: LinkedIn).&nbsp;</li></ul>

IBM Product Manager Professional Certificate 

Prepare for a career as a product manager. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months. No prior experience required. 

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  <div><strong>Project Overview</strong></div><div><br /></div><div>Explore text sentiment analysis with python and unlock valuable insights from text data! This guided project focuses on evaluating sentiments in YouTube comments related to the Jake Paul vs. Mike Tyson trailer, using powerful Python libraries such as pandas, numpy, and nltk. Gain hands-on experience with essential data processing techniques to classify sentiments and extract actionable insights from textual data. Designed for beginners in data science and marketing professionals seeking to enhance analytical capabilities, this project equips you with valuable skills in just 30 minutes.</div><div><br />
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<br /><br /></div><div><strong>Learning Objectives</strong></div><div><br /></div><div>Upon completion of this project, you will be proficient in:</div><div>- Grasping the fundamental concepts of sentiment analysis and its practical applications.</div><div>- Employing Python libraries to effectively process text data for sentiment evaluation.</div><div>- Deriving significant insights from sentiment data to support decision-making across various scenarios.</div><div><br /></div><div><strong>Prerequisites</strong></div><div><br /></div><div>To complete this project successfully, ensure you have:</div><div>- A current version of a compatible web browser (Chrome, Edge, Firefox, Internet Explorer, or Safari) for optimal platform performance.<br /><br /><br />From emails and tweets to online survey responses, chats with customer service representatives and reviews, the sources available to gauge customer sentiment are seemingly endless. Sentiment analysis systems help companies better understand their customers, deliver stronger customer experiences and improve their brand reputation.</div>
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Youtube Sentiment Analysis: Jake Paul vs. Mike Tyson Trailer

Learn sentiment analysis with Python and data visualization techniques to evaluate YouTube comments on the Jake Paul vs. Mike Tyson trailer. This hands-on project guides you through data processing methods to classify sentiments and extract actionable insights using libraries like pandas, numpy, and nltk. Ideal for beginners in data science or marketing professionals, complete this engaging introduction to sentiment analysis in just 30 minutes and enhance your analytical skill set.

<div>This IBM AI Product Manager Professional Certificate program provides you with the skills you need to get your first job as an AI product manager. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Job-ready skills in six months, plus you’ll get practical experience employers are actively looking for and an industry-recognized credential&nbsp;</li><li>Application of key product management skills, tools, and techniques to engage and manage key stakeholders and clients&nbsp;</li><li>Fundamentals of Agile and adaptive methodologies used to expedite product solutions to market&nbsp;</li><li>How to evaluate real-world case studies showcasing the successful integration of AI into existing product management systems&nbsp;</li><li>The skills and tools knowledge required to be a successful AI product manager&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>With the rapid integration of AI into business products and processes across industries, there is a growing demand for AI product management professionals. According to Statista, the generative AI market size is expected to rise to 1.3 trillion US dollars by 2032. The need for AI product management experts is also growing to bridge the gap between AI and product management. &nbsp;</div><div>&nbsp;</div><div>This program is designed to impart the skills you need to launch your AI product manager career in just six months or less. You do not require prior programming experience for this program. &nbsp;</div><div>&nbsp;&nbsp;</div><div>What do AI product managers do? By integrating generative AI capabilities, product managers focus on personalization and automation and optimize data-driven decision-making for organizations. If you’re a versatile professional, a creative student, or a fresh graduate wanting to become an AI product manager, this IBM AI Product Manager Professional Certificate program is your ideal first step to get started in this field. You’ll learn in-demand skills and tools used by successful product management professionals. &nbsp;</div><div>&nbsp;&nbsp;</div><div>Through this program, you will learn about fundamental principles of product management. Navigating through the entire lifecycle, you will explore associated artifacts from product idea to launch. &nbsp;</div><div>&nbsp;&nbsp;</div><div>As you work through the courses, you’ll leverage the generative AI capabilities, prompt engineering techniques, and several generative AI tools to integrate them with product management and its lifecycle. Real-world experiences and a series of hands-on projects will help you build compelling products leveraging generative AI. You will have a portfolio of projects when you complete this program.&nbsp;</div><div>&nbsp;</div><div>A strong foundation in AI product management will help you develop an advanced career across industries such as healthcare, finance, logistics, e-commerce, and cybersecurity.&nbsp;</div><div>&nbsp;</div><div>This IBM AI Product Managers Professional Certificate program will get you job-ready and help you develop the skills you need for a rewarding career in the AI product management domain.&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is ideal for beginners. However, to get the most from this program, you do need a background in product management and basic knowledge of generative AI.&nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for AI product managers is continuously on the rise. So, with the right AI product management skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>The U.S. Bureau of Labor Statistics projects job opportunities for AI professionals will grow by 21% per year by 2031 to meet industry demand. &nbsp;</li><li>The average base salary for AI product managers in the US starts at $133,600 and swiftly ramps up from there (Source: Glassdoor.com, Mar 2024). This field offers a lot of career potential. &nbsp;</li><li>‘AI product managers’ were listed among the top AI job roles in demand by recruiters worldwide for 2024. (Source: WEF report, 2023). Employers are actively looking for professionals with the right skills. &nbsp;</li></ul>

IBM AI Product Manager Professional Certificate

Build job-ready, in-demand AI product management skills in six months, plus get valuable practical experience and a credential. No programming experience is required. 

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  <div>The<strong> </strong>Software Developer Job Guide: Resume &amp; Interview Prep<strong> </strong>course is designed to prepare you to enter the job market as a technical support specialist. It provides comprehensive guidance on the regular functions and tasks of support professionals, along with options for career development. You will gain practical skills in creating essential job-seeking materials, including a tailored resume and an impressive portfolio, as well as auxiliary tools like a compelling cover letter and a persuasive elevator pitch. </div><div>Throughout the course, you will learn effective strategies for finding and assessing prospective job positions, applying for them, and laying the groundwork for successful interviews. Additionally, you will receive insider tips and techniques to perform professionally and effectively during interviews, boosting your confidence and presentation skills. </div><div>To further enhance your learning experience, seasoned professionals will share their insights and experiences, helping you navigate the competitive landscape of the tech support industry. By the end of the course, you will be equipped with the knowledge and skills needed to secure a rewarding role in technical support and advance your career in this dynamic field. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Summarize the basic functions and tasks of the technical support specialist role. </li><li>Describe some career paths for technical support and the job prospects for the field. </li><li>Review technical support fundamentals and refresh essential skills. </li><li>Discover what to expect from a technical interview so you can get prepared. </li></ul><div><strong>Course Overview</strong> </div><div> </div><div><strong>Are you aiming to advance your career as a software developer?</strong> </div><div>Software engineering professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates, too. How can you get the edge in such a competitive field? </div><div> </div><div>This course will prepare you to enter the job market as a great candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.  </div><div> </div><div>The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides information about the regular functions and tasks of software engineers, as well as the opportunities of the profession and some options for career development. </div><div> </div><div>You will get guidance from a number of experts in the software industry in the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned software development professionals share their experience to help you get ahead and land the job you want.   </div><div> </div><div>This course will prepare learners for roles with a variety of titles, including Software Engineer, Software Developer, Application Developer, Full Stack Developer, Front-End Developer, Back-End Developer, DevOps Engineer, and Mobile App Developer. </div><div> <br /><br /><strong>Course Syllabus</strong> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Building a Foundation</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Reading: Job Role Titles  </li><li>Reading: IBM Certificates for Software Engineering Skills </li><li>Video: Understanding the Role of a Software Engineer </li><li>Video: Introduction to Full Stack Software Development PC </li><li>Video: Introduction to DevOps and Software Engineering PC </li><li>Video: Expert Viewpoint: Paths to Software Engineering </li><li>Video: Opportunities in Software Development </li><li>Video: Expert Viewpoint: Software Engineering Roles and Required Skills </li><li>Video: Build your portfolio  </li><li>Video: Expert Viewpoint: Optimal Portfolios </li><li>Video: Learner Testimonials </li><li>Video: Draft your resume  </li><li>Video: Expert Viewpoint: Attention-Getting Resumes </li><li>Lab: Draft your Resume </li><li>Reading: Gathering References </li><li>Reading: Drafting an Elevator Pitch </li><li>Lab: Draft your Basic Cover Letter </li><li>Video: Expert Viewpoints: What Sets Apart a Great Software Engineering Candidate </li><li>Practice Quiz: Module 1: Building a Foundation </li><li>Graded Quiz: Module 1: Building a Foundation </li></ul><div><strong>Module 2: Applying and Preparing to Interview </strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Company and Industry Research </li><li>Video: Networking Online and Off </li><li>Video: Expert Viewpoint: Building Your Network </li><li>Video: Assessing job listings  </li><li>Video: Expert Viewpoint: A Closer Look at Job Listings </li><li>Lab: Apply for a Job  </li><li>Video: Technical Review Fundamentals </li><li>Video: Refreshing Essential Software Development Skills  </li><li>Video: Interview rehearsal </li><li>Video: Expert Viewpoint: Job Interview Prep </li><li>Lab: Prepare for an Interview </li><li>Practice Quiz: Module 2: Applying and Preparing to Interview  </li><li>Graded Quiz: Module 2: Applying and Preparing to Interview  </li></ul><div><strong>Module 3: Interviewing </strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Overview of the Interview Process  </li><li>Video: Expert Viewpoint: A Typical Interview Cycle </li><li>Reading: Unethical Questions and Behaviors </li><li>Video: Mock Interview of a Software Engineer: Part 1 </li><li>Video: Mock Interview of a Software Engineer: Part 2 </li><li>Video: Mock Interview of a Software Engineer: Part 3 </li><li>Video: Interview Analysis  </li><li>Video: Best Practices: Getting an Interview  </li><li>Video: Best Practices: Interview Preparation </li><li>Video: Coding Challenges in Software Engineering </li><li>Video: Expert Viewpoint: Case Study Insights </li><li>Reading: Second-round Screening </li><li>Video: Expert Viewpoint: Tech Screen Expectations </li><li>Video: Final interviewing </li><li>Video: Interviewing: Discussing a Project  </li><li>Lab: Coding Challenge Level 1 </li><li>Lab: Coding Challenge Level 1 Solution </li><li>Lab: Coding Challenge Level 2 </li><li>Lab: Coding Challenge Level 2 Solution </li><li>Video: Expert Viewpoint: Interviewing </li><li>Reading: After the interview  </li><li>Video: Expert Viewpoint: Negotiating an Offer </li><li>Reading: Check list </li><li>Practice Quiz: Module 3: Interviewing  </li><li>Graded Quiz: Module 3: Interviewing  </li></ul><div><strong>Module: Course Wrap-up</strong> </div><div>Reading: Congrats and Next Steps </div><div>Reading: Thanks from the Course Team </div><div>Reading: Copyrights and Trademarks </div><div><strong>Prerequisites</strong> </div><div>Although the  Software Developer Job Guide: Resume and Interview Prep course has no formal prerequisites, it is ideal for individuals looking to pursue or transition into a career in technical support. Participants will benefit most from this course by enhancing their job-seeking skills, developing interview readiness, and gaining a deeper understanding of the tech support landscape. </div>
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Software Developer Job Guide: Resume & Interview Prep

This course prepares you for a software developer role, covering job-seeking materials, interview techniques, and insights from seasoned professionals. 

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  <div>The  Tech (IT) Support Job Guide: Resume &amp; Interview Preparation<strong> </strong>course is designed to prepare you to enter the job market as a technical support specialist. It provides comprehensive guidance on the regular functions and tasks of support professionals, along with options for career development. You will gain practical skills in creating essential job-seeking materials, including a tailored resume and an impressive portfolio, as well as auxiliary tools like a compelling cover letter and a persuasive elevator pitch. </div><div>Throughout the course, you will learn effective strategies for finding and assessing prospective job positions, applying for them, and laying the groundwork for successful interviews. Additionally, you will receive insider tips and techniques to perform professionally and effectively during interviews, boosting your confidence and presentation skills. </div><div>To further enhance your learning experience, seasoned professionals will share their insights and experiences, helping you navigate the competitive landscape of the tech support industry. By the end of the course, you will be equipped with the knowledge and skills needed to secure a rewarding role in technical support and advance your career in this dynamic field. </div><div> </div><div><strong>You will learn to:</strong> </div><ul><li>Summarize the basic functions and tasks of the technical support specialist role </li><li>Describe some career paths for technical support and the job prospects for the field </li><li>Review technical support fundamentals and refresh essential skills </li><li>Discover what to expect from a technical interview so you can come prepared </li></ul><div><strong>Course Overview</strong> </div><div><strong>Are you aiming to advance your career as a data engineer? </strong> </div><div> This course will equip you with the essential skills and knowledge needed to thrive in this dynamic field. </div><div>You’ll explore the core responsibilities of technical support professionals, various career paths, and the opportunities available within the industry. The course provides practical guidance on building a strong job-search foundation, including researching job openings, crafting an effective resume, and developing a compelling portfolio. </div><div>You’ll gain valuable insights into the interview process, learning about different formats, preparation strategies, and how to present yourself professionally and confidently. </div><div>With a blend of theoretical concepts, hands-on exercises, and real-world examples, this course is perfect for aspiring technical support specialists and anyone looking to enhance their job-seeking skills and advance in the tech support field. </div><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li><strong>Video: Course Introduction</strong> </li><li><strong>Reading: General Information</strong> </li><li><strong>Reading: Learning Objectives and Syllabus</strong> </li><li><strong>Reading: Grading Scheme</strong> </li><li><strong>Video: Course Intro Marketing Video</strong> </li></ul><div><strong>Module 1: Building a Foundation </strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Understanding the Role of A Technical Support Specialist </li><li>Video: Expert Viewpoint: Paths in Technical Support </li><li>Reading: Job Titles </li><li>Testimonials: Technical Support Specialists </li><li>Video: Expert Viewpoint: Setting Goals </li><li>Video: Testimonials: Technical Support Specialists </li><li>Video: Opportunities in Technical Support </li><li>Video: Build your portfolio  </li><li>Video: Expert Viewpoint: Optimal Portfolios </li><li>Video: Learner Testimonials </li><li>Video: Expert Viewpoints: Technical Specialist Roles </li><li>Video: Draft your resume  </li><li>Lab: Draft your Resume </li><li>Video: Expert Viewpoint: Attention-Getting Resumes </li><li>Reading: Drafting Basic Cover Letter </li><li>Lab: Draft your Basic Cover Letter </li><li>Reading: Gathering References </li><li>Reading: Drafting an Elevator Pitch </li><li>Video: Expert Viewpoint: Standing Out from the Crowd </li><li>Practice Quiz: Module 1: Building a Foundation  </li><li>Graded Quiz: Module 1: Building a Foundation  </li></ul><div><strong>Module 2: Applying and Preparing to Interview </strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Company and Industry Research </li><li>Video: Networking Online and Off </li><li>Video: Expert Viewpoint: Building Your Network </li><li>Video: Expert Viewpoint: Building Your Network </li><li>Video: Expert Viewpoint: A Closer Look at Job Listings </li><li>Reading: Apply for a Job  </li><li>Video: Technical Review: Technical Skills Fundamentals Review </li><li>Video: Technical Review: Soft Skills Fundamentals Review </li><li>Reading: Technical Support Fundamentals Review </li><li>Video: Refreshing Essential Technical Support Skills </li><li>Video: Expert Viewpoint: Job Interview Prep </li><li>Video: Interview rehearsal </li><li>Lab: Prepare for an Interview </li><li>Practice Quiz: Module 2: Applying and Preparing to Interview  </li><li>Graded Quiz: Module 2: Applying and Preparing to Interview  </li></ul><div><strong>Module 3: Interviewing </strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>NA </li><li>Video: Overview of the Interview Process  </li><li>Reading:  Unethical Questions and Behaviors </li><li>Video: Mock Interview Part 1 </li><li>Video: Mock Interview Part 2 </li><li>Video: Mock Interview Part 3 </li><li>Video: Interviewer Analysis of Mock Interview </li><li>Video: Interviewee Analysis of Mock Interview </li><li>Video: Interviewing Best Practices </li><li>Video: Expert Viewpoint: Case Study Insights </li><li>Lab: Practice Case Study </li><li>Reading: Second-round Screening </li><li>Video: Expert Viewpoint: Tech Screen Expectations </li><li>Video: Final interviewing </li><li>Video: Technical Interviewing: Discussing a Project </li><li>Video: Expert Viewpoints: Interviewing </li><li>Reading: Unethical Interviewing </li><li>Reading: After the interview  </li><li>Video: Expert Viewpoints: Candidate Good Impression </li><li>After the interview: You were declined </li><li>Reading: Check List </li><li>Practice Quiz: Module 3: Interviewing  </li><li>Graded Quiz: Module 3: Interviewing  </li><li>Reading: Working with Third-Party Recruiters </li><li>Video: Expert Viewpoint: Negotiations </li></ul><div><strong>Module: Course Wrap-up</strong> </div><ul><li>Reading: Congrats &amp; Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Although the Tech (IT) Support Job Guide: Resume &amp; Interview Preparation has no formal prerequisites, it is ideal for individuals looking to pursue or transition into a career in technical support. Participants will benefit most from this course by enhancing their job-seeking skills, developing interview readiness, and gaining a deeper understanding of the tech support landscape. </div>
</div>


Tech (IT) Support Job Guide: Resume & Interview Preparation

This course prepares you for a technical support specialist role, covering job-seeking materials, interview techniques, and insights from seasoned professionals. 

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  <div>Data Engineer Job Guide: Resume &amp; Interview Preparation <strong> </strong>course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. Let seasoned professionals share their experiences to help you get ahead of the competition. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Describe the role of a data engineer and some career path options as well as the prospective opportunities in the field. </li><li>Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work. </li><li>Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews. </li><li>Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation. </li></ul><div> </div><div><strong>Course Overview</strong> </div><div><strong>Are you aiming to advance your career as a data engineer? </strong> </div><div>This course will equip you with the key skills and knowledge needed to succeed in this rapidly evolving field. </div><div> </div><div>You’ll explore the core responsibilities of data engineers, various career paths, and the opportunities available. The course provides practical guidance on building a strong job-search foundation, including researching job listings, creating an effective resume, and developing an impressive portfolio. </div><div> </div><div>You’ll gain insights into the interview process, learning about different formats, preparation strategies, and how to present yourself professionally and confidently. </div><div> </div><div>With a mix of theoretical concepts, hands-on exercises, and real-world examples, this course is ideal for aspiring data engineers and anyone looking to enhance their job-seeking skills and advance in the data engineering field. </div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Video: Introduction to the Data Engineering PC </li><li>Video: Course Intro Marketing Video </li></ul><div><strong>Module 1: Building a Foundation </strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Understanding the Role of a Data Engineer </li><li>Video: Expert Viewpoint: Paths in Data Engineering </li><li>Video: Promo Video: Career of a Data Engineer </li><li>Video: Opportunities in Data Engineering </li><li>Video: Expert Viewpoints: Data Engineer Roles and Required Skills </li><li>Video: Build your portfolio  </li><li>Video: Expert Viewpoints: Optimal Portfolios </li><li>Video: Learner Testimonials </li><li>Video: Draft your resume  </li><li>Video: Expert Viewpoints: Attention-Getting Resumes </li><li>Lab: Draft your Resume </li><li>Reading: Drafting Basic Cover Letter </li><li>Lab: Draft your Basic Cover Letter </li><li>Video: Expert Viewpoints: Standing Out from the Crowd </li><li>Reading: Gathering References </li><li>Reading: Drafting an Elevator Pitch </li><li>Practice Quiz: Module 1: Building a Foundation  </li><li>Graded Quiz : Module 1: Building a Foundation  </li></ul><div><strong>Module 2: Applying and Preparing to Interview </strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Company and Industry Research </li><li>Video: Networking Online and Off </li><li>Video: Expert Viewpoints: Building Your Network </li><li>Video: Assessing job listings  </li><li>Video: Expert Viewpoint: A Closer Look at Job Listings </li><li>Apply for a Job  </li><li>Video: Technical Review Fundamentals </li><li>Video: Refreshing Essential Engineering Skills  </li><li>Video: Interview rehearsal </li><li>Video: Expert Viewpoint: Job Interview Preparation </li><li>Lab: Prepare for an Interview </li><li>Practice Quiz: Module 2: Applying and Preparing to Interview  </li><li>Graded Quiz: Module 2: Applying and Preparing to Interview  </li></ul><div><strong>Module 3: Interviewing </strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Overview of the Interview Process  </li><li>Video: Expert Viewpoint: A Typical Interview Cycle </li><li>Reading:  Unethical Questions and Behaviors </li><li>Video: Mock Interview of a Data Analyst: Part 1 </li><li>Video: Mock Interview of a Data Analyst: Part 2 </li><li>Video: Mock Interview of a Data Analyst: Part 3 </li><li>Video: Interview Analysis  </li><li>Video: Best Practices: Getting an Interview  </li><li>Video: Best Practices: Interview Preparation </li><li>Video: Coding Challenges  in Data Engineering </li><li>Video: Expert Viewpoint: Case Study Insights </li><li>Lab: Practice Code Challenges </li><li>Reading: Second-round Screening </li><li>Video: Expert Viewpoint: Tech Screen Expectations </li><li>Video: Final interviewing </li><li>Video: Interviewing: Discussing a Project </li><li>Video: Expert Viewpoints: Interviewing </li><li>Hands-on Lab: Linux CLI </li><li>Hands-on Lab: SQL </li><li>Lab: After the interview  </li><li>Video: Expert Viewpoint: Negotiations </li><li>Reading: Check List </li><li>Practice Quiz: Module 3: Interviewing  </li><li>Graded Quiz: Module 3: Interviewing  </li></ul><div><strong>Module 4: Course Wrap-up</strong> </div><ul><li>Reading: Congrats and Next Steps </li><li>Reading: Thanks from the Team </li><li>Reading: Copyrights and Trademarks </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Although the Data Engineer Job Guide: Resume &amp; Interview Preparation  course has no formal prerequisites, it is ideal for those looking to pursue or transition into a career in data engineering and data science. Participants will benefit most from this course by enhancing their job-seeking skills and interview readiness. </div>
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Data Engineering Job Guide: Resume & Interview Preparation

This course prepares you for a data engineering career, covering key tasks, career opportunities, resume building, job searching, and interview tips from industry experts.  

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  <div>Data analysts are in high demand globally, and the competition is tough. So, how do you stand out? </div><div> </div><div> Data Analyst Job Guide: Resume &amp; Interview Preparation helps you become a strong candidate for data analyst roles by teaching you how to create a resume, portfolio, cover letter, and elevator pitch. You’ll learn how to find job openings, apply for them, and prepare for interviews. </div><div>You’ll also get insider tips on how to perform well in interviews, handle take-home challenges, and understand the day-to-day tasks of data analysts. Experts will share their career experiences and give advice on networking, interviewing, and solving coding problems to help you succeed. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Describe the role of a data analyst, career path options, and opportunities in the field. </li><li>Explain how to build a job search foundation, including job research, resume writing, and portfolio creation. </li><li>Summarize the job interview cycle, interview types, and preparation strategies. </li><li>Explain effective interview techniques, including answering questions and making a professional presentation. </li></ul><div> </div><div><strong>Course Overview</strong> </div><div><strong>Are you looking to advance your career as a data analyst?</strong>  </div><div>This course will equip you with the essential skills and knowledge needed to thrive in this dynamic field. </div><div>You will explore the core responsibilities of data analysts, various career paths, and the opportunities available to you. The course provides practical guidance on building a strong foundation for your job search, including researching job listings, crafting an effective resume, and creating an impressive portfolio. </div><div> </div><div>You’ll gain insights into the job interview cycle, learning about different interview formats and preparation strategies. Additionally, the course covers techniques for delivering impactful interviews, focusing on answering questions confidently and presenting yourself professionally. </div><div> </div><div>With a blend of theoretical knowledge, hands-on exercises, and real-world examples, this course prepares you to launch and advance your career as a data analyst successfully. It is ideal for aspiring data analysts and anyone looking to enhance their job-seeking skills in this exciting field. </div><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Build a Foundation</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Understanding the Role of a Data Analyst </li><li>Reading: IBM Certificates to get Skilled for Data Analytics </li><li>Video: Introduction to Data Analyst PC </li><li>Reading: Data Analyst and Related Job Roles </li><li>Video: Opportunities in Data Analytics </li><li>Video: Build your portfolio  </li><li>Video: Draft your resume  </li><li>Lab: Draft your Resume </li><li>Reading: Gathering References </li><li>Reading: Drafting an Elevator Pitch </li><li>Reading: Drafting Basic Cover Letter </li><li>Lab: Draft your Basic Cover Letter </li><li>Practice Quiz: Module 1: Build a Foundation </li><li>Graded Quiz : Module 1: Build a Foundation </li></ul><div><strong>Module 2: Applying and Preparing to Interview </strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Company and Industry Research </li><li>Video: Networking Online and Off </li><li>Video: Assessing job listings  </li><li>Reading: Applying for a Job  </li><li>Video: Technical Review Fundamentals </li><li>Video: Refreshing Essential Analytical Skills  </li><li>Reading: Build your skills as a Data Analyst </li><li>Video: Interview rehearsal </li><li>Lab: Prepare for an Interview </li><li>Practice  Quiz: Module 2: Applying and Preparing to Interview  </li><li>Graded Quiz : Module 2: Applying and Preparing to Interview  </li></ul><div><strong>Module 3: Interviewing </strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Overview of the Interview Process  </li><li>Reading: Unethical Questions and Behaviors </li><li>Video: Coding Challenges in Data Analysis </li><li>Lab : Executing SQL Queries </li><li>Lab : Python Exercise for Introductory Data Analysis </li><li>Reading: Second-round Screening </li><li>Video: Final interviewing </li><li>Video: Interviewing: Discussing a Project </li><li>Reading: After the interview  </li><li>Reading: Check List </li><li>Practice Quiz: Module 3: Interviewing  </li><li>Graded Quiz: Module 3: Interviewing </li></ul><div><strong>Module 4: Course Wrap-up</strong> </div><ul><li>Reading: Congrats and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Although the  Data Analyst Job Guide: Resume &amp; Interview Preparation n course has no formal prerequisites, it is ideal for those looking to pursue or transition into a career in data analysis. Participants will benefit most from this course by enhancing their job-seeking skills and interview readiness. </div>
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Data Analyst Job Guide: Resume & Interview Preparation

Prepare for a successful data analyst career, covering essential job-seeking tools like resumes, portfolios, and interview strategies to get the ideal job role. 

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  <div>This Career Guide and Interview Preparation for Data Scientists course teaches you the skills you need to get your first job as a Data Scientist.  </div><div> </div><div><strong>You will learn:</strong> </div><div> </div><ul><li>Job-roles of a data scientist and some career path options as well as the prospective opportunities in the field. </li><li>How to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work </li><li>What can a candidate expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews. </li><li>How to give an effective interview, including techniques for answering questions and how to make a professional personal presentation. </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?   </div><div> </div><div>This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.  </div><div> </div><div>The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides guidance about the regular functions and tasks of data scientists, as well as the opportunities of the profession and some options for career development. </div><div> </div><div>Let seasoned professionals share their experiences to help you get ahead and land the job you want! </div><div> <br /><br /><br /><strong>Course Syllabus</strong> </div><div><strong>Module 1: Building a Foundation</strong> </div><ul><li>Video: Role of a Data Scientist </li><li>Reading: Build Your Skills as a Data Scientist  </li><li>Video: SME Video: Paths in Data Science </li><li>Video: Opportunities in Data Science  </li><li>Video: SME Video: Data Science Roles and Required Skills </li><li>Video: Build Your Portfolio  </li><li>Video: SME Video: Optimal Portfolios </li><li>Video: Introduction to Data Science Professional Certificate </li><li>Video: Draft Your Resume  </li><li>Video: SME Video: Attention-Getting Resumes </li><li>Hands-on Lab: Draft Your Resume </li><li>Reading: Draft Your Basic Cover Letter </li><li>Hands-on Lab: Create Your Cover Letter </li><li>Video: SME Video: Standing Out from the Crowd </li><li>Reading: Drafting Other Materials </li><li>Reading: Drafting an Elevator Pitch </li><li>Practice Quiz: Building a Foundation </li><li>Reading: Resources: Introduction, Data Handling and Cleansing </li><li>Graded Quiz: Module 1 </li></ul><div><strong>Module 2: Applying and Preparing to Interview </strong> </div><ul><li>Video: Company and Industry Research in Data Science </li><li>Video: Networking Online and Off </li><li>Video: SME Video: Building Your Network </li><li>Video: Assessing Job Listings  </li><li>Video: SME Video: A Closer Look at Job Listings </li><li>Reading: Applying for a Job </li><li>Video: Interview Rehearsal </li><li>Video: SME Video: Job Interview Preparation </li><li>Hands-on Lab: Prepare for an Interview </li><li>Practice Quiz: Applying and Preparing to Interview </li><li>Graded Quiz: Module 2 </li></ul><div><strong>Module 3: Interviewing</strong> </div><ul><li>Video: Overview of the Interview Process  </li><li>Video: SME Video: A Typical Interview Cycle </li><li>Reading: Unethical Interviewing </li><li>Video: Data Science Mock Interview - Part 1  </li><li>Video: Data Science Mock Interview - Part 2 </li><li>Video: Data Science Mock Interview - Part 3 </li><li>Video: Mock Interview Analysis </li><li>Video: Best Practices: Getting an Interview  </li><li>Video: Best Practices: Interview Preparation </li><li>Coding Challenges in Data Science </li><li>Video: SME Video: Case Study Insights </li><li>Lab: Practice Code Challenges </li><li>Reading: Second-Round Screen </li><li>Video: SME Video: Tech Screen Expectations </li><li>Video: Final Interviewing </li><li>Video: SME Video: Interviewing </li><li>Reading: After the Interview </li><li>Video: SME Video: Negotiations </li><li>Reading: Checklist </li><li>Practice Quiz: Interviewing </li><li>Graded Quiz: Module 3 </li></ul><div><strong>Prerequisites</strong> <br />It is a basic course and does not require any prerequisites. The basic knowledge of data science is an added advantage.  </div>
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Data Scientist Job Guide: Resume & Interview Preparation

Build job-ready Data Science skills in less than a month, plus get valuable career development and a credential.  No programming experience is required.  

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  <h1>A Look At The Project Ahead</h1><div>Imagine stepping into the role of a seasoned sports commentator, equipped with cutting-edge AI tools to make predictions and analyze match-ups with precision. In this guided project, you’ll use a<strong> low to no-code </strong>approach to bring AI to life through careful prompt engineering. You’ll develop a bot that analyzes boxing matches—channeling the expertise of a commentator who understands fighters' strengths, weaknesses, and styles. In a later additional exercise, you’ll create a chess expert bot with the insight of a chess grandmaster.<br /><br /></div><div>Working with leading models like <strong>GPT-4</strong> and <strong>IBM Granite 3.0</strong>, you’ll experiment with prompt optimization to draw out the unique analytical capabilities of each model. This hands-on approach allows you to witness the strengths and limitations of AI firsthand, gaining deeper insights into AI-driven applications and learning how to tailor model inputs to achieve expert-level performance.<br /><br /></div><div>This project not only refines your AI skills but also prepares you to design specialized tools, ideal for sports analysis and beyond. Whether you're interested in AI for sports commentary, real-time predictions, or simply want to explore the dynamic interactions between AI and human input, this lab is the perfect opportunity to dive deep into the potential of generative AI.<br /><br />
      <img src="https://author.skills.network/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MzM4NzAsInB1ciI6ImJsb2JfaWQifX0=--b05ffed873ad475a8da539fd248c93a2586f4a76/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJwbmciLCJsb2FkZXIiOnsibiI6LTF9LCJyZXNpemVfdG9fbGltaXQiOlsxMDI0LDc2OF19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--d5cef5cc4423e679c464df97b6ff7a8fa3dec7ab/cover_image(16).png" />

  
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<br /><br /></div><h1>What You’ll Achieve</h1><div>By the end of this lab, you will:</div><ul><li>Master the basics of <strong>prompt engineering</strong> and see how it shapes AI responses.</li><li>Explore various <strong>large language models</strong> to understand how different prompts yield unique insights.</li><li>Build a boxing expert bot, creating detailed, data-backed analysis for upcoming matches.</li><li>Sharpen your skills in <strong>AI application development</strong> and <strong>model evaluation</strong>, laying the groundwork for developing specialized AI tools.</li></ul><div><br /></div><h1>Who Should Complete This Project?</h1><div>This project is ideal for:</div><ul><li><strong>AI Enthusiasts and Beginners</strong> who want hands-on experience with large language models and Generative AI.</li><li><strong>Sports Fans</strong> interested in understanding how AI can analyze and predict boxing match outcomes.</li><li><strong>Data Science Students</strong> looking to enhance their knowledge of prompt engineering, model evaluation, and application design.</li><li><strong>Professionals in AI and Machine Learning</strong> who seek practical, low to no-code projects that focus on prompt optimization and AI-driven insights.</li><li>Anyone intrigued by the potential of AI for real-world applications, particularly in sports analysis and prediction.</li></ul><div><br /></div><h1>What You'll Need</h1><div>To complete this project, you should have:</div><ul><li>Basic familiarity with AI concepts and terminology.</li><li>Experience with web browsers (e.g., Chrome, Firefox, Edge, Safari).</li><li>No extensive coding experience required; this lab is designed with a low to no-code approach, using pre-installed tools within the IBM Skills Network Labs environment.</li></ul>
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Gen AI Boxing Analysis: Mike Tyson vs Jake Paul Showdown

Master prompt engineering and generative AI in this interactive project, where you’ll create an expert-level bot for boxing with minimal coding. Using models like GPT-4 and IBM Granite 3.0, participants will learn to optimize prompts for detailed boxing matches analysis. This hands-on project deepens understanding of AI capabilities, offering unique insights into AI-driven predictions for boxing matches. Ideal for beginners and AI enthusiasts alike, this experience builds essential skills in model evaluation, AI application, and specialized prompt tuning.

<div>This Specialization teaches you the skills you need to enhance your career as a BI analyst. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>How to analyze and evaluate the capabilities of Tableau Public as a powerful business intelligence (BI) tool for data visualization and analysis&nbsp;</li><li>To integrate data from multiple sources and clean, transform, and prepare data for analysis in Tableau &nbsp;</li><li>Creating interactive dashboards in Tableau, incorporating navigation, links between story points, and advanced features such as actions and tooltips&nbsp;</li><li>Tableau’s features to deliver insightful dashboards and stories for data exploration and presentation&nbsp;</li></ul><div>&nbsp;</div><div>&nbsp;</div><div><strong>Specialization Overview</strong>&nbsp;</div><div>&nbsp;</div><div>Organizations across industries adopt business intelligence (BI) tools and platforms to derive meaningful insights from available data. Using Tableau, you’ll learn key skills to get meaningful insights into data visualization. &nbsp;</div><div>&nbsp;</div><div>This specialization will equip you with visualizations, reports, dashboards, and stories, or delve into predictive, prescriptive, or real-time analytics. It provides practical tools and guidance needed to build these skills. Self-paced courses in this specialization equip you with the essential Tableau skills and thoroughly prepare you for the Tableau Certified Data Analyst exam. &nbsp;</div><div>&nbsp;</div><div>Each course in this specialization focuses on different aspects of Tableau functionalities to ensure a well-rounded tool mastery. The specialization includes plenty of hands-on labs and projects to help you develop practical skills. After successfully completing this specialization, you will integrate data from multiple sources.&nbsp;</div><div>&nbsp;</div><div>You will also create, clean, transform, and prepare data for analysis, develop a variety of charts and visualizations, build interactive dashboards, leverage advanced features, such as actions and tooltips, and create stories to tell compelling narratives.&nbsp;</div><div>&nbsp;</div><div>So what are you waiting for?&nbsp;<br>Enroll now and gain skills that showcase your readiness for Tableau’s data visualization and analysis to the potential employer. No prior Tableau background is required.&nbsp;</div><div>&nbsp;</div><div>The hands-on labs and projects help you to gain practical experience with&nbsp;</div><div>&nbsp;</div><ul><li>Importing and transforming data in Tableau&nbsp;</li><li>Creating interactive visualizations and dashboards in Tableau&nbsp;</li><li>Documenting and presenting project sales data analysis &nbsp;</li></ul><div>&nbsp;</div><div>This specialization strongly emphasizes applied learning and includes a series of hands-on activities using real-world scenarios. &nbsp;</div><div>&nbsp;</div><div>You will also work on Tableau projects, including:&nbsp;</div><div>&nbsp;</div><ul><li>Working with the World Happiness Report in Tableau Public&nbsp;</li><li>Working with the New York Airbnb Pricing Report in Tableau Public&nbsp;</li><li>Sales performance analysis through data-driven insights &nbsp;</li></ul><div>&nbsp;</div><div>If you’re keen to take your Tableau data analyst Certification Preparation and boost your resume with in-demand Tableau skills that catch an employer’s eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities.</div>

Preparation for Tableau Data Analyst Certification  

Build job-ready Tableau data analysis skills in four months with valuable credentials. No prior experience in Tableau is required. 

<div>This Professional Certificate (PC) teaches you the skills you need to enhance your career as a BI analyst. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Various skills, including how to build SQL queries, relational databases, data gathering and cleaning, data warehousing, data analysis and reporting techniques&nbsp;</li><li>How to apply statistical analysis methods to identify trends, create visualizations, and build dashboards using Tableau, Excel, Cognos, and Looker&nbsp;</li><li>Data warehousing, profiling, and evaluation, leading to informed decision-making and process improvement to generate valuable data insights&nbsp; &nbsp;</li><li>How to use BI analytics to consult with stakeholders, define goals, implement strategies, and develop effective projects for a rewarding career in BI&nbsp;</li></ul><div>&nbsp;</div><div><strong>Professional Certificate Overview</strong>&nbsp;</div><div>&nbsp;</div><div>Prepare your career as a business intelligence (BI) analyst and get job-ready skills in just 4 months. Learn in-demand skills such as structured query language (SQL), Excel, and data management. No prior experience is needed to get started.&nbsp;</div><div>&nbsp;</div><div>So, what does a BI analyst do?&nbsp;</div><div>BI analyst transforms raw data into meaningful insights that drive strategic decision-making within an organization. They also prepare market intelligence and financial reports.&nbsp;</div><div>&nbsp;</div><div>In this PC, you’ll learn about data collection, analysis, visualization, and reporting, owning skills in developing data models and deriving invaluable insights for making informed decisions. You will analyze data from various sources, such as relational databases and data warehouses.&nbsp;</div><div>&nbsp;</div><div>This PC will help you start your career in BI and provide a strong foundation for future career development in other paths such as data analytics, data science, data engineering, and supply chain or healthcare.&nbsp;</div><div>&nbsp;</div><div>You’ll also apply the latest BI analysis tools including Tableau, IBM Cognos, Google Looker, and Excel. You’ll apply statistical analysis methods to visualize data, create interactive dashboards, and present data compellingly.&nbsp;</div><div>&nbsp;</div><div>Once you complete this PC, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers. You will also gain access to resources to help you in your BI analyst job search, including resume development and interview preparation.&nbsp;</div><div>&nbsp;</div><div>Throughout this PC, you will gain practical experience in the BI process through hands-on labs and projects. Such as: &nbsp;</div><ul><li>Overview of the BI process&nbsp;</li><li>Clean, prepare, and analyze data in Excel&nbsp;</li><li>Create visualizations and dashboards using Cognos Analytics, Google Looker Studio, and Excel&nbsp;</li><li>Analyze sales performance and forecast future sales based on historical data&nbsp;</li><li>Manage and query databases by working with real-world datasets&nbsp;</li><li>Utilize advanced SQL techniques like Joins, Cubes, Rollups, and Materialized Views&nbsp;</li><li>Design and populate data warehouses and use IBM Cognos to construct an analytics dashboard&nbsp;</li><li>Import and transform data in Tableau&nbsp;</li><li>Create interactive visualizations and dashboards in Tableau&nbsp;</li><li>Project BI analysis presentation and documentation&nbsp;</li></ul><div>&nbsp;&nbsp;</div><div>If you’re keen to take your BI analyst career to the next level and boost your resume with in-demand BI skills that catch an employer's eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities. &nbsp;</div>

IBM Business Intelligence Analyst Professional Certificate 

Build job-ready business intelligence (BI) professional skills in four months with valuable credentials. No prior experience is required. 

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  <div><em>Elevate your product management career with the AIPMM – Certified Product Manager (CPM) certification preparation course. </em> </div><div> </div><div><em>By completing this course, you will acquire the skills to navigate the certification journey confidently so that you are well-prepared for the AIPMM – CPM exam.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong> </div><div> </div><ul><li><em>Analyze eligibility requirements, costs, and the sign-up process for the CPM certification.</em> </li><li><em>Revise testing options, testing content, and testing strategies for the CPM certification exam.</em> </li><li><em>Explore exam topics, grading weights, and essential test-taking strategies.</em> </li><li><em>Experience a timed simulated exam, mimicking the actual testing conditions, to evaluate your knowledge and skills.</em> </li><li><em>Access additional study resources and tips for comprehensive exam preparation.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>The course guides you through the AIPMM-CPM exam qualifications and sign-up process.</em> </div><div> </div><div><em>Grading weights and test-taking strategies are covered to ensure your focus on high-priority areas.</em> </div><div> </div><div><em>You will sharpen your abilities through two untimed 20-minute practice exams to measure your progress and also tackle a full-length simulated exam divided into four 30-question modules. </em> </div><div> </div><div><em>This structure mirrors the actual exam, helping you develop time management and get familiar with real exam conditions.</em> </div><div> </div><div><em>By the end of this course, you will be able to take the next step in your product management career with confidence and competence.</em> </div><div><em>Enroll now to secure your AIPMM-CPM certification and stand out in the competitive job market.</em> </div><div><em><br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most of this Course </li><li>Reading: Benefits of Obtaining a CPM Certification </li></ul><div><strong>Module 1: CPM Certification Test Overview</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Reading: CPM Certification Eligibility Testing </li><li>Reading: The CPM Test </li><li>Reading: The CPM Domains </li><li>Video: Exam Taking Strategies </li><li>Reading: Exam Preparation: Study Resources </li><li>Reading: Overview of the Practice Quizzes </li><li>Practice Quiz A: Module 1: CPM Certification Test Overview </li><li>Practice Quiz B: Module 1: CPM Certification Test Overview </li><li>Reading: Summary: Module 1: CPM Certification Test Overview </li></ul><div> </div><div><strong>Module 2: CPM Certification Test Simulation</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Reading: Overview of the Simulated CPM Exam </li><li>Graded Assessment: CPM Mock Examination Module 1 </li><li>Reading: Module Exam Break Reminder </li><li>Graded Assessment: CPM Mock Examination Module 2 </li><li>Reading: Module Exam Break Reminder </li><li>Graded Assessment: CPM Mock Examination Module 3 </li><li>Reading: Module Exam Break Reminder </li><li>Graded Assessment: CPM Mock Examination Module 4 </li><li>Reading: Lesson 1 Summary: CPM Certification Test Simulation </li></ul><div><strong>Module: Course Wrap up</strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Reading: How to Claim your Certificate </li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>No prior experience is required. This course is designed for anyone seeking to start a career in product management.</em> </div>
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Practice Exam: AIPMM Certified Product Manager (CPM)

Gain essential knowledge and strategies for the AIPMM Certified Product Manager (CPM) exam, including eligibility requirements, test content, and practice opportunities to boost your readiness for certification success. 

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  <div><em>By completing this course, you will acquire the skills to oversee product lifecycles, create essential artifacts, and implement strategic frameworks for market success.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong> </div><div> </div><ul><li><em>Build product artifacts, including product vision documents, PRDs, and business cases.</em> </li><li><em>Create selected artifacts such as product concept, requirements, and end-of-life plan.</em> </li><li><em>Build a personal product management portfolio to showcase your skills to employers</em> </li><li><em>Prepare for the AIPMM Certified Product Manager (CPM) exam through quizzes and peer reviews.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>This capstone course equips you with hands-on product management experience by guiding you through each phase of the product lifecycle.</em> </div><div> </div><div><em>You will develop 16 key product management artifacts through real-world scenario including the creation of strategic tools such as the Ansoff Matrix, product vision document, product requirement document, and the product roadmap.</em> </div><div> </div><div><em>You can use these artifacts to demonstrate your skills for entry-level product manager roles to future employers.</em> </div><div> </div><div><em>Additionally, test your knowledge with questions similar to those you will experience while taking the AIPMM and CPM certification exam.</em> </div><div> </div><div><em>By the end of the course, you can also get a bonus module to get a personal portfolio to showcase your product management acumen to employers. So, join now!<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li></ul><div><strong>Module 1: Product Management: The Fundamentals</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Reading: Module 1: Overview and Activity Requirements </li><li>Reading: Product Manager: Role and Required Skills </li><li>Reading: Product Management Capstone Scenario </li><li>Video: Demo: Porter’s Five Forces Model </li><li>Reading: Levels of Strategy (Ansoff Matrix) </li><li>Lab: Skills and Strategy Analysis </li><li>Practice Quiz Module 1: Product Management: The Fundamentals </li><li>Reading: Module 1 Summary: Product Management: The Fundamentals </li><li>Reading: Module 1 Glossary: Product Management: The Fundamentals </li><li>Graded Quiz: Module 1: Product Management: The Fundamentals </li></ul><div><strong>Module 2: The Conceive and Plan Phases</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Reading: Module 2: Overview and Activity Requirement </li><li>Reading: Product Conceive Phase </li><li>Reading: The Product Concept Document </li><li>Reading: The Product Vision </li><li>Video: Demo: Product Concept Document and Product Vision </li><li>Lab: Create a Product Concept and Product Vision </li><li>Reading: Lesson Summary: The Conceive Phase Activities and Deliverables </li><li>Reading: Scenario Update Part II </li><li>Reading: Product Plan Phase </li><li>Video: Demo: The Product Requirements Document (PRD) </li><li>Reading: The Product Roadmap </li><li>Reading: Review the Business Case </li><li>Video: Demo: Illustrate a Business Case </li><li>Lab: Planning the Product </li><li>Reading: Lesson Summary: The Plan Phase Activities and Deliverables </li><li>Practice Quiz: Module 2: The Conceive and Plan Phases </li><li>Reading: Glossary: The Conceive and Plan Phases </li><li>Graded Quiz: Module 2 The Conceive and Plan Phases </li></ul><div><strong>Module 3: The Develop and Qualify Phases</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Reading: Module 3: Overview and Activity Requirements </li><li>Reading: Develop Phase Review </li><li>Reading: The Beta Plan </li><li>Video: Demo: The Beta Plan </li><li>Reading: Performing Usability Testing </li><li>Reading: Scenario Update Part IIIA <br />Lab: Beta Planning </li><li>Reading: Qualify Phase Review </li><li>Reading: Assess Launch Readiness </li><li>Reading: Scenario Update Part IIIB </li><li>Lab: Launch Readiness Assessment </li><li>Reading: Module Summary: The Develop and Qualify Phase </li><li>Practice Quiz: Module 3: The Develop and Qualify Phase </li><li>Reading: Glossary: The Develop and Qualify Phases </li><li>Graded Quiz: Module 3: The Develop and Qualify Phases </li></ul><div><strong>Module 4: Launch, Delivery, and Retire Phases</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Reading: Module Overview and Activity </li><li>Reading: Launch Phase Review </li><li>Reading: Scenario Update Part IV </li><li>Reading: Finalize Positioning and Marketing Collateral </li><li>Video: Demo: Demand Generation </li><li>Lab: Demand Generation Plan </li><li>Reading: Lesson Summary: Launching the Product </li><li>Practice Assignment: Practice Quiz: Launching the Product </li><li>Reading: Summarize the Deliver and Retire Phases </li><li>Reading: The Product Lifecycle </li><li>Video: Demo: The End-of-Life (EOL) Plan </li><li>Lab: End-of-Life (EOL) Planning </li><li>Reading: Module 4 Summary: Launch, Delivery, and Retire Phases </li><li>Practice Quiz: Module 4: Launch, Delivery, and Retire Phases </li><li>Reading: Glossary: The Launch, Deliver, and Retire Phases </li><li>Graded Quiz: Module 4 Launch, Delivery, and Retire Phases </li></ul><div><strong>Module 5: Final Submission and Evaluation</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Reading: Module 5: Overview and Submission Requirements </li><li>Peer review: Project Submission and Peer Review </li><li>Graded Assignment: Final Exam </li><li>Reading: Practicing for the AIPMM-CPM Exam </li></ul><div><strong>Module 6: Course Wrap up</strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks for the Course Team </li><li>Reading: Introduction to the Product Management CPM Preparation Course </li></ul><div><strong>Module 7: (Bonus) Portfolio Development and Job Readiness</strong> </div><ul><li>Reading: Module 7 Introduction and Learning Objectives </li><li>Reading: Introduction to Portfolio Development and Job Readiness </li><li>Video: Demo: Personal Portfolio Development </li><li>Lab: Develop an Impactful Personal Portfolio </li><li>Reading: Resume and Job Search Tips </li><li>Reading: Module 7 Summary: Portfolio Development and Job Readiness </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Feedback </li><li>Reading: How to Claim your Certificate </li><li>Reading: Claim your Badge Here </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>No prior experience is required. This course is designed for anyone seeking to start a career in product management; however, a basic familiarity with product management concepts would be helpful.</em> </div>
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Capstone Project for Product Managers

Gain hands-on experience creating product artifacts, planning launches, managing feedback, and building a portfolio to showcase your product management skills. 

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  <div><em>By completing this course, you'll gain the expertise to manage product lifecycles, engage stakeholders, and apply strategic frameworks for market success.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong> </div><ul><li><em>Develop a comprehensive product development plan</em> </li><li><em>Discuss the required key pre-launch and post-launch planning activities to ensure market readiness</em> </li><li><em>List key issues to be addressed based on customer feedback</em> </li><li><em>Use competitive analysis and persona reviews to refine marketing strategies</em> </li><li><em>Manage product phases, from market validation to retirement, using lifecycle insights</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>This course provides you with essential steps to develop and launch a new product, which are crucial phases of the product management lifecycle.</em> </div><div> </div><div><em>It equips you with the best practices to ensure a smooth transition from product development to product launch and delivery, along with the retirement processes for the product.</em> </div><div> </div><div><em>Additionally, brief insights and experiences in product management are shared along with practice quizzes and graded quizzes to apply your learning in the final project.</em> </div><div> </div><div><em>At the end of this course, you will develop real-world product management expertise to launch new products.<br /></em><br /></div><h1>Course Syllabus</h1><ul><li>Module 0: Welcome </li><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most from This Course </li></ul><div><strong>Module 1: The Product Develop Phase</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Summarize Critical Develop Phase Activities </li><li>Reading: The Develop Phase RACI </li><li>Discussion Prompt: Development of a New Product </li><li>Video: Expert Viewpoints: Product Development </li><li>Video: Product Implementation </li><li>Video: Product Requirements Refinement and Verification </li><li>Video: Expert Viewpoints: Managing Product Change </li><li>Lab: Product Development Analysis </li><li>Video: Market Validation: Beta Testing and Its Benefits </li><li>Reading: Beta Planning Questions </li><li>Video: Expert Viewpoints: Beta Planning </li><li>Discussion Prompt: Beta Planning for New Product Development </li><li>Reading: Usability Testing </li><li>Video: Launch Planning Activities </li><li>Video: Expert Viewpoints: Effective Launch Planning </li><li>Reading: Exiting the Develop Phase </li><li>Lab: Launch Planning Evaluation </li><li>Practice Quiz: Module 1: The Product Develop Phase  </li><li>Reading: Module 1 Summary: The Product Develop Phase </li><li>Reading: Module 1 Glossary: The Product Development Phase </li><li>Graded Quiz: Module 1: The Product Develop Phase </li></ul><div><strong>Module 2: The Product Qualify Phase</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Qualify Phase Overview  </li><li>Reading: The Qualify Phase RACI </li><li>Video: Expert Viewpoints: Transitioning to Product Launch </li><li>Reading: Beta Testing Goals, Benefits, and the Role of UX </li><li>Reading: Beta Testing Checklist </li><li>Lab: Analyze the Beta Test </li><li>Video: Expert Viewpoints: The Beta Test </li><li>Video: Launch Preparation Activities </li><li>Reading: Manufacturing and Operations Launch Preparation </li><li>Discussion Prompt: New Product Launch Preparation </li><li>Video: Sales and Channel Launch Preparation </li><li>Video: Expert Viewpoints: Sales Channel Support </li><li>Reading: Customer Support Launch Preparation </li><li>Video: Expert Viewpoints: Marketing Readiness </li><li>Reading: The Launch Decision </li><li>Lab: Assess Launch Readiness </li><li>Practice Quiz: Module 2: The Product Qualify Phase </li><li>Reading: Module 2 Summary: The Product Qualify Phase </li><li>Reading: Module 2 Glossary: The Product Qualify Phase </li><li>Graded Quiz: Module 2 The Product Qualify Phase </li></ul><div><strong>Module 3: The Launch and Deliver Phases</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Launch Phase Overview </li><li>Reading: The Launch Phase RACI </li><li>Video: Expert Viewpoints: The Launch </li><li>Discussion Prompt: Product Launch Phase </li><li>Video: Product Launch Activities </li><li>Reading: Critical Launch Activities Synopsis </li><li>Video: Product Post-Launch Activities </li><li>Video: Expert Viewpoints: Launch Support </li><li>Lab: Product Launch Planning Retrospective </li><li>Video: Deliver Phase Overview  </li><li>Reading: The Deliver Phase RACI </li><li>Reading: Product Lifecycle Intersect </li><li>Reading: The Product Lifecycle </li><li>Discussion Prompt: Product Lifecycle </li><li>Reading: The Growth Stage </li><li>Video: Expert Viewpoints: The Growth Stage </li><li>Reading: The Maturity Stage </li><li>Reading: Support and Maintenance </li><li>Video: Expert Viewpoints: Customer Interface </li><li>Video: The Decline Stage </li><li>Lab: Analyze Some Common Products </li><li>Practice Quiz: Module 3: The Launch and Deliver Phases </li><li>Reading: Module 3 Summary: The Launch and Deliver Phases </li><li>Reading: Module 3 Glossary: The Launch and Deliver Phases </li><li>Graded Quiz: Module 3 The Launch and Deliver Phases </li></ul><div><strong>Module 4: The Product Retire Phase and Next Steps</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Video: Introduce the Retire Phase of Product Management Lifecycle  </li><li>Reading: The Retire Phase RACI </li><li>Video: Reasons to Retire a Product </li><li>Video: Expert Viewpoints: Product Retirement </li><li>Discussion Prompt: Product Retirement </li><li>Video: The End of Life (EOL) Plan </li><li>Video: EOL Plan Success Factors </li><li>Lab: Product EOL Scenarios </li><li>Reading: EOL Planning Checklist </li><li>Discussion Prompt: EOL Planning Checklist </li><li>Video: External Areas of Impact </li><li>Video: Internal Areas of Impact </li><li>Reading: Planning Next Steps </li><li>Lab: Product EOL Requirements </li><li>Video: Expert Viewpoints: Product Management as a Career </li><li>Practice Quiz: Module 4: The Product Retire Phase and Next Steps </li><li>Reading: Module 4 Summary: The Product Retire Phase and Next Steps </li><li>Reading: Module 4 Glossary: The Product Retire Phase and Next Steps </li><li>Graded Quiz: Module 4 The Product Retire Phase and Next Steps </li></ul><div><strong>Module 5: Course Summary and Final Assessment</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Reading: Final Project Overview </li><li>Final Project: Rubric and Submission </li><li>Graded Assignment: Final Graded Exam </li><li>Reading: Retake Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Form: Feedback </li><li>Reading: How to Claim your Certificate </li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course requires no prior experience and is suitable for anyone aspiring to pursue a career in product management.</em></div>
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Developing and Delivering New Products for Product Managers

Gain hands-on experience developing product checklists, planning launches, managing feedback, and overseeing product lifecycles from creation to retirement. 

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  <div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most From this Course </li></ul><div><strong>Module 1: Product Conception and Planning Overview</strong> </div><ul><li>Reading: Module 1: Introduction and Learning Objectives </li><li>Video: Overview of the Product Management Lifecycle </li><li>Video: Product Concept Identification </li><li>Video: Expert Viewpoints: Product Identification </li><li>Reading: Strengths, Weaknesses, Opportunities, and Threats (SWOT) </li><li>Video: Performing the Product Concept External Assessment </li><li>Video: Performing the Product Concept Internal Assessment </li><li>Video: Expert Viewpoints: Evaluating Strengths, Weaknesses, Opportunities, and Threats (SWOT) </li><li>Lab: Perform a Product SWOT </li><li>Video: Product Strategy Options </li><li>Reading: Prioritizing Product Strategy Options </li><li>Video: Expert Viewpoints: Product Strategy Prioritization </li><li>Video: Product Concept Document </li><li>Reading: Product Concept Document Development Checklist </li><li>Reading: Product Concept Document Approval </li><li>Video: Expert Viewpoints: Gaining Product Concept Approval </li><li>Lab: Develop a Product Concept Document </li><li>Reading: Module 1 Summary: Product Conception and Planning Overview </li><li>Reading: Module 1 Glossary: Developing Product Strategy Options and the Product Concept </li><li>Module 1 Graded Quiz: Developing Product Strategy Options and the Product Concept </li></ul><div><strong>Module 2: Product Concept Identification</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Establishing the Team </li><li>Reading: Building the Team Checklist </li><li>Reading: The Tuckman Ladder </li><li>Video: Expert Viewpoints: Building the Team </li><li>Reading: Developing the Initial Project Charter </li><li>Video: Screencast Video: Project Charter Contents </li><li>Lab: Develop an Initial Project Charter </li><li>Video: Expert Viewpoints: The Product Management Project Charter </li><li>Video: Market Investigation Overview </li><li>Reading: Review Personas </li><li>Video: The Market Problem and Competitive Analysis </li><li>Video: Expert Viewpoints: The Competitive Analysis </li><li>Video: Market Requirements Document (MRD) </li><li>Video: Solution Investigation </li><li>Video: Expert Viewpoints: Solution Investigation </li><li>Lab: Develop a Market Requirements Document </li><li>Practice Quiz: Module 2: Product Concept Identification </li><li>Reading: Module 2 Summary: Product Concept Identification </li><li>Reading: Module 2 Glossary: The Product Conceive Investigation Phase – Team, Charter, Market, and Solution Analysis </li><li>Module 2 Graded Quiz: The Product Conceive Investigation Phase – Team, Charter, Market, and Solution Analysis </li></ul><div><strong>Module 3: Product Concept Investigation</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Market Feedback </li><li>Video: Expert Viewpoints: Market Feedback </li><li>Video: Develop the Product Marketing Strategy </li><li>Reading: The Product Vision </li><li>Discussion Prompt: Product Vision </li><li>Video: Create a Preliminary Launch Strategy </li><li>Video: Expert Viewpoints: Risk Management </li><li>Video: Overview of Project Charter </li><li>Video: Create a Preliminary Business Case </li><li>Reading: Business Case Format </li><li>Video: Expert Viewpoints: Product Business Case Development </li><li>Reading: Exiting the Conceive Phase </li><li>Video: Expert Viewpoints: Exiting the Conceive Phase </li><li>Lab: Develop a Preliminary Business Case </li><li>Practice Quiz: Module 3: Product Concept Investigation </li><li>Reading: Module 3 Summary: Product Concept Investigation </li><li>Reading: Module 3 Glossary: Product Concept Investigation </li><li>Module 3 Graded Quiz: Product Concept Investigation </li></ul><div><strong>Module 4: Product Plan Phase</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Reading: Introduce the Plan Phase of Product Management </li><li>Video: Plan Phase Activity Groups </li><li>Video: Expert Viewpoints: Product Planning </li><li>Reading: Product Definition Activities </li><li>Video: Screencast Video: Illustrate a Product Roadmap </li><li>Video: Expert Viewpoints: Product Roadmaps </li><li>Lab: Develop a Product Roadmap </li><li>Practice Quiz: Module 4: Product Plan Phase </li><li>Video: Creating the Product Development Plan </li><li>Reading: Functional Plans </li><li>Video: Expert Viewpoints: Development Planning </li><li>Video: Marketing Plan Activities </li><li>Reading: Business Case Updates </li><li>Video: Screencast Video: Illustrate Key Financial Components of a Business Case </li><li>Lab: Complete a Financial Analysis </li><li>Reading: Module 4 Summary: Product Plan Phase </li><li>Reading: Module 4 Glossary: Product Plan Phase </li><li>Module 4 Graded Quiz: Product Plan Phase </li></ul><div><strong>Module 5: Course Summary and Final Assessment</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Lab: Final Project </li><li>Final Project: Rubric and Submission </li><li>Final Quiz: Final Graded Exam </li><li>Reading: Retake Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyright and Trademarks </li><li>Form: Feedback </li><li>Reading: How to Claim your Certificate </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course requires no prior experience and is suitable for anyone aspiring to pursue a career in product management.</em> </div>
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Strategy and Plan for Product Managers

Gain hands-on experience identifying product concepts, performing SWOT analysis, developing MRDs, and creating product roadmaps. Apply this knowledge to manage lifecycles and perform financial analysis. 

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  <div><em>By completing this course, you'll gain the expertise to manage product lifecycles, engage stakeholders, and apply strategic frameworks for market success.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong> </div><ul><li><em>Apply collaboration and communication skills essential for stakeholder engagement and product management.</em> </li><li><em>Enhance business and interpersonal skills that are essential for product management.</em> </li><li><em>Analyze communication challenges and understand different communication styles for effective teamwork.</em> </li><li><em>Evaluate strengths and areas of improvement of a case study to offer recommendations.</em> </li></ul><div><strong>Course Overview</strong> </div><div> </div><div><em>This course helps you gain essential product management skills, which include collaboration, strategic planning, and communication. </em> </div><div> </div><div><em>You can learn value skills along with Kotler’s Five Levels of product and market segmentation, SWOT analysis, and Porter’s Five Forces Model for market assessment.</em> </div><div> </div><div><em>You will equip yourself with crucial skills essential for effective communication and teamwork in the field of product management.</em> </div><div> </div><div><em>By the end of the course, you will be able to apply these skills to real-world scenarios with hands-on experience through practical labs, quizzes, and a final project.</em> <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Product Management Communication and Collaboration Fundamentals</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: What Is Product Management? </li><li>Video: Communication and Collaboration Essentials </li><li>Video: Goal Setting  </li><li>Reading: Goal Setting Checklist </li><li>Video: Expert Viewpoints: Collaboration and Goal Setting </li><li>Video: The Elevator Pitch </li><li>Video: The 5 Dysfunctions of a Team  </li><li>Video: Expert Viewpoints: The Five Dysfunctions </li><li>Lab: Develop an Elevator Pitch </li><li>Video: Key Product Manager Communication and Interpersonal Skills </li><li>Video: Expert Viewpoints: Messaging </li><li>Video: Facilitation and Brainstorming </li><li>Video: Influencing with Authority </li><li>Video: Expert Viewpoints: Influencing </li><li>Video: Problem Solving and Decision Making </li><li>Lab: Resolve Issues Through Effective Communication </li><li>Practice Quiz: Module 1: Product Management Communication and Collaboration Fundamentals </li><li>Reading: Module 1 Summary: Product Management Communication and Collaboration Fundamentals </li><li>Reading: Glossary: Product Management Communication and Collaboration Fundamentals </li><li>Module 1 Graded Quiz: Product Management Communication and Collaboration Fundamental </li></ul><div><strong>Module 2: Business Development and the Product Manager</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Kotler’s Five Levels of a Product </li><li>Video: Expert Viewpoints: Product Development </li><li>Video: Market Segmentation </li><li>Video: Expert Viewpoints: Product Benefits </li><li>Video: The Ansoff Matrix </li><li>Video: Business Development </li><li>Video: Expert Viewpoints: Business Development </li><li>Video: Product Planning and Development Strategy </li><li>Video: Porter’s Five Forces Model </li><li>Video: Expert Viewpoints: Product Planning and Strategy </li><li>Lab: Five Forces Model </li><li>Practice Quiz: Module 2: Business Development and the Product Manager </li><li>Reading: Module 2 Summary: Business Development and the Product Manager </li><li>Reading: Glossary: Business Development and the Product Manager </li><li>Graded Quiz: Business Development and the Product Manager </li></ul><div><strong>Module 3: Driving Strategy and Innovation</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Four Types of Innovation and the Innovation Process </li><li>Video: Innovation Methodologies </li><li>Video: Expert Viewpoints: Product Manager Innovation </li><li>Video: Innovation and Ideation Challenges </li><li>Video: Analytical and Abstract Thinking Skills </li><li>Video: How do the Roles of the Product Manager and Business Analyst Relate? </li><li>Video: Expert Viewpoints: The Business Analyst </li><li>Video: General Management Skills and Organizational Skills </li><li>Lab: Product Management Skills Evaluation </li><li>Practice Quiz: Module 3: Driving Strategy and Innovation </li><li>Reading: Module 3 Summary: Driving Strategy and Innovation </li><li>Reading: Glossary: Driving Strategy and Innovation </li><li>Graded Quiz: Driving Strategy and Innovation </li></ul><div><strong>Module 4: Understanding Communication Styles</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Video: Situational Communication </li><li>Video: Communication Styles </li><li>Lab: Assess Your Communication Style </li><li>Video: Expert Viewpoints: Communication and Trust </li><li>Video: Trust and Your Communication Style </li><li>Video: Expert Viewpoints: Communication and Trust </li><li>Video: Team Communication and the Tuckman Ladder </li><li>Video: Expert Viewpoints: Team Building </li><li>Video: Communicating to the Public </li><li>Video: Public Relations and Media Planning </li><li>Lab: Marketing Collateral </li><li>Practice Quiz: Module 4: Understanding Communication Styles </li><li>Reading: Module 4 Summary: Understanding Communication Styles </li><li>Reading: Glossary: Understanding Communication Styles </li><li>Graded Quiz: Understanding Communication Styles </li></ul><div><strong>Module 5: Course Summary and Final Assessment</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Lab: Product Development Final Project </li><li>Peer Review: Final Project: Rubric and Submission </li><li>Final Quiz: Final Graded Exam </li><li>Reading: Retake Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks for the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Form: Feedback </li><li>Reading: How to Claim your Certificate </li></ul><div><br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course requires no prior experience and is suitable for anyone aspiring to pursue a career in product management.</em> </div>
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Foundations & Stakeholder Collaboration for Product Managers

Gain hands-on experience to apply communication, collaboration, and business skills to engage stakeholders and manage products. Apply this knowledge to evaluate case studies effectively. 

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  <div><em>By completing this course, you'll gain the expertise to excel in product management, understanding the essential skills and responsibilities needed for success in this dynamic field.</em> </div><div> </div><div><strong><em>You will learn:</em></strong> </div><ul><li><em>Understand the roles, responsibilities, and key competencies required for a successful product manager.</em> </li><li><em>Analyze the product life cycle and product management life cycle</em> </li><li><em>Explore “value creation” and analyze how product managers contribute to creating value in products.</em> </li><li><em>Compare career paths in product management and discover certifications that can help you advance in the field.</em> </li><li><em>Gain insights into the Guide to the Product Management Body of Knowledge (ProdBOK) to align with industry standards.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div><em>In today’s fast-changing global market, companies look for skilled product managers to develop products that resonate with the users and expand their existing offerings. This introductory course offers a comprehensive understanding of what a product manager does and the key skills required to thrive.</em> </div><div> </div><div><em>Additionally, you will explore concepts such as product lifecycles, personas, value creation, and SWOT analysis.</em> </div><div> </div><div><em>Hands-on labs simulate real-world product management challenges, and insights from industry experts provide practical knowledge and first-hand experiences.</em> </div><div> </div><div><em>By the end of this course, you will be well-equipped to begin your journey into product management.</em> </div><div> </div><div><em> With the IBM Product Management Professional Certificate, you will clearly understand the skills and knowledge needed to excel in this rewarding career.<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Video: Introduction to IBM Product Management Professional Certificate </li><li>Video: Meet the Experts </li><li>Reading: Helpful Tips for Course Completion </li></ul><div><strong>Module 1: Product Manager Profession Overview</strong> </div><ul><li>Reading: Module 1 Introduction and Objectives </li><li>Video: Define Product Management </li><li>Video: Role of a Product Manager </li><li>Video: Expert Viewpoints: Role of Product Manager </li><li>Reading: Product Manager Skill Inventory </li><li>Video: Expert Viewpoints: Product Manager Skills </li><li>Video: The Product Manager’s Business Acumen </li><li>Video: Expert Viewpoints: Business Acumen and the Product Manager </li><li>Lab: Review a Product Development Scenario </li><li>Practice Quiz: Module 1: Product Manager Profession Overview </li><li>Video: Expert Viewpoints: A Top Executive’s View on Product Management – Part 1 </li><li>Lab: New Plugin Item </li><li>Reading: Module 1 Summary: Product Manager Profession Overview </li><li>Activity: Guage Your Interest in Typical Product Management Tasks </li><li>Reading: Module 1 Glossary: Product Manager Profession Overview </li><li>Module 1 Quiz: Product Manager Profession Overview </li></ul><div><strong>Module 2: The Product Lifecycle and the Product Manager</strong> </div><ul><li>Reading: Module 2 Introduction and Objectives </li><li>Video: What Is a Product? </li><li>Video: Expert Viewpoints: Your Experience </li><li>Video: A Day in the Life of a Product Manager </li><li>Video: Expert Viewpoints: Challenges of Product Management </li><li>Video: Soft Skills for a Product Manager </li><li>Reading: Forming the Right Personality </li><li>Video: Expert Viewpoints: Personality Traits of a Product Manager </li><li>Lab: The Role of a Product Manager </li><li>Practice Assignment: Product and Product Management </li><li>Video: Expert Viewpoints: A Top Executive’s View on Product Management – Part 2 </li><li>Video: The Product Lifecycle </li><li>Video: The Product Management Lifecycle </li><li>Video: Expert Viewpoints: The Product Management Lifecycle </li><li>Reading: Product Management Lifecycle Key Deliverables </li><li>Video: Product Management Functional Areas </li><li>Video: The Product Management Team and Stakeholders </li><li>Video: Expert Viewpoints: Critical Roles and Collaboration  </li><li>Lab: Case Study – Review a Product Concept </li><li>Practice Quiz: Module 2: The Product Lifecycle and the Product Manager </li><li>Reading: Module 2 Summary: The Product Lifecycle and the Product Manager </li><li>Activity: Identify Tasks in the Product Management Lifecycle </li><li>Reading: Module 2 Glossary: The Product Lifecycle and the Product Manager </li><li>Module 2 Graded Quiz: The Product Lifecycle and the Product Manager </li></ul><div> </div><div><strong>Module 3: Product Management Fundamentals</strong> </div><ul><li>Reading: Module 3 Introduction and Objectives </li><li>Video: Value Creation </li><li>Video: Expert Viewpoints: Creating Value </li><li>Reading: Describe an Entrepreneur </li><li>Video: The Product Manager and Entrepreneurial Connection </li><li>Video: Critical Thinking and the Product Manager </li><li>Video: Expert Viewpoints: Thoughts on Critical Thinking </li><li>Video: Summarize the Portfolio Approach </li><li>Video: Portfolio Approach: Benefits and Challenges </li><li>Reading: Portfolio Approach Cheatsheet </li><li>Video: Expert Viewpoints: Product Strategy Challenges </li><li>Video: The Product Manager and the Project Manager </li><li>Video: Expert Viewpoints: Project and Product Manager Relationship </li><li>Video: Project Management Lifecycles </li><li>Reading: Case Study: Developing a High-Impact Product </li><li>Practice Quiz: Module 3: Product Management Fundamentals </li><li>Reading: Module 3 Summary: Product Management Fundamentals </li><li>Activity: Identify Product and Product Manager Tasks </li><li>Reading: Module 3 Glossary: Product Management Fundamentals </li><li>Module 3 Graded Quiz: Product Management Fundamentals </li></ul><div> </div><div><strong>Module 4: Product Management Opportunities and Certifications</strong> </div><ul><li>Reading: Module 4 Introduction and Objectives </li><li>Video: Employment Opportunities in Product Management </li><li>Reading: Current State of Product Management  </li><li>Video: Expert Viewpoints: Preparation to Become a Product Manager </li><li>Lab: Identifying How Product Management Can Help </li><li>Reading: Introduction to the Product Management and Marketing Body of Knowledge (ProdBOK) </li><li>Practice Quiz: Module 4: Product Management Opportunities and Certifications </li><li>Video: Improve Your Product Manager Resume </li><li>Video: Expert Viewpoints: Product Manager Certification and Resume Building  </li><li>Reading: Module 4 Glossary: Product Management Opportunities and Certifications </li><li>Reading: Module 4 Summary: Product Management Opportunities and Certifications </li><li>Module 4 Graded Quiz: Product Management Opportunities and Certifications </li></ul><div><strong>Module 5: Final Project, Assessment, and Course Wrap-up</strong> </div><ul><li>Reading: Module 5 Introduction and Objectives </li><li>Reading: Final Project Scenario </li><li>Reading: Final Project Lab </li><li>Graded Quiz: Final Exam </li><li>Reading: Re-take Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Feedback </li><li>Reading: How to Claim your Certificate </li><li>Reading: Claim your Badge here </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>No prior product management skills or background is required. This course is ideal for beginners looking to start a career in product management.</em> </div>
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Fundamentals for Product Managers

Gain hands-on experience in product management, mastering the product lifecycle, value creation, and SWOT analysis. 

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  <div><em>By completing this course, you'll gain the expertise to understand the exam structure, domains, and question types to prepare effectively for the Tableau Certified Data Analyst exam.</em> </div><div> </div><div><strong><em>You Will learn:</em></strong> </div><ul><li><em>Master the exam structure and familiarize yourself with different question types and domains for effective preparation.</em> </li><li><em>Explore key study resources that will help you strengthen your understanding of Tableau exam structure and exam topics.</em> </li><li><em>Gain the skills needed to pass the Tableau Certified Data Analyst exam and demonstrate expertise in data-driven decision-making.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>This course equips you with the knowledge and strategies required to succeed in the Tableau Certified Data Analyst exam. </em> </div><div> </div><div><em>You will explore the exam structure, tackle practice questions, and engage with study resources designed to prepare you for the certification.</em> </div><div> </div><div><em>By the end of this course, you’ll be ready to apply exam strategies, manage time effectively, and complete the Tableau Certified Data Analyst exam with confidence. </em> </div><div> </div><div><em>Passing the exam will position you as a valuable asset in any data-driven organization.<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: About the Tableau Certified Data Analyst Exam</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview </li><li>Plugin: How to Make the Most of this Course </li><li>Video: Exam Overview: Tableau Certified Data Analyst </li><li>Reading: Exam Domain Details and Study Resources: Tableau Certified Data Analyst </li><li>Video: Exam Taking Strategies </li><li>Plugin: Exam Taking Strategies: Tableau Certified Data Analyst </li><li>Practice Assignment: Practice Exam </li></ul><div> </div><div><strong>Module 2: Tableau Certified Data Analyst Mock Exam</strong> </div><ul><li>Graded Assignment: Graded Quiz: Exam Simulation </li><li>Reading: Hints for Hands-on Questions </li><li>Reading: Course Summary </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Teams and Acknowledgment </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course is designed for those preparing for the Tableau Certified Data Analyst exam. Some experience with Tableau Public is recommended. </em> </div>
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Tableau: Certified Data Analyst Practice Exam

 Gain hands-on experience preparing for the Tableau Certified Data Analyst exam, mastering exam strategies, practice tests, and key study resources to ensure exam success. 

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  <div><em>By completing this course, you’ll gain the expertise to integrate data from multiple sources and clean, transform, and prepare data for analysis in Tableau.</em> </div><div> </div><div><strong><em>You will learn:</em></strong> </div><ul><li><em>Showcase the ability to integrate various data sources and analyze business data effectively using Tableau software.</em> </li><li><em>Develop interactive dashboards and reports to communicate insights derived from data analysis.</em> </li><li><em>Utilize data storytelling techniques to present findings and recommendations to stakeholders.</em> </li><li><em>Identify key business objectives and data sources relevant to organizational operations.</em> </li><li><em>Ensure data accuracy and consistency through effective cleaning and preparation processes.</em> </li><li><em>Showcase important Key Performance IndicatorsPIs, trends, and patterns within the data using Tableau’s visualization capabilities.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div> </div><div><em>This course equips you with essential Tableau skills to enhance business intelligence capabilities within an organization. </em> </div><div> </div><div><em>You will learn to tackle real business challenges by converting raw data into actionable insights, enabling informed decision-making.</em> </div><div> </div><div><em>You’ll master the processes of data integration, cleaning, and transformation while using Tableau’s interactive dashboards and stories to present compelling data insights.</em> </div><div> </div><div><em> By the end of this course, you’ll be equipped to design engaging presentations suitable for stakeholders, making you a valuable asset in any data-driven organization.<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0:</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most of this Course </li><li>Video: Project Overview </li><li>Reading: Business Scenario and Data Details </li></ul><div><strong>Module 1: Preparing Data for Visualization</strong> </div><ul><li>Reading: Module 1: Introduction and Learning Objectives </li><li>Assignment Overview: Importing and Cleaning Data </li><li>Lab: Importing and Cleaning Data </li><li>Checklist: Importing and Cleaning Data </li><li>Graded Quiz: Importing and Cleaning Data </li></ul><div><strong>Module 2: Visualizations and Dashboards with Tableau</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Assignment Overview: Basic Tableau Visualizations </li><li>Lab: Creating Basic Tableau Visualizations </li><li>Checklist: Basic Tableau Visualizations </li><li>Graded Quiz: Basic Tableau Visualizations </li><li>Video: Assignment Overview: Advanced Visualization with Tableau </li><li>Lab: Creating Interactive Dashboards in Tableau </li><li>Checklist: Advanced Visualizations Using Tableau </li><li>Graded Quiz: Advanced Visualizations Using Tableau </li></ul><div><strong>Module 3: Creating Stories in Tableau and Final Project Submission</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Assignment Overview: Creating an Engaging Story in Tableau </li><li>Lab: Creating Engaging Stories in Tableau </li><li>Checklist: Creating Engaging Stories in Tableau </li><li>Graded Quiz: Creating Engaging Stories in Tableau </li><li>Reading: Final Assignment Overview </li><li>Reading: Preparation Task: Build your Presentation </li><li>Lab: Peer Review: Final Project Submission </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Course Acknowledgment </li><li>Reading: Copyright and Trademarks </li><li>Form: Feedback </li><li>Reading: How to Claim your Certificate </li><li>Reading: Claim your Badge Here </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course is suited for those looking to improve their Tableau skills. Some experience with Tableau is recommended.</em> </div>
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Tableau: Capstone Project

 Gain hands-on experience with Tableau, mastering data integration, cleaning, interactive dashboards, and data storytelling to enhance business intelligence skills. 

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  <div><em>By completing this course, you’ll gain the expertise to create advanced data visualizations and effectively handle complex data scenarios in Tableau.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong> </div><div><em> </em> </div><ul><li><em>Handle complex data scenarios using Tableau’s advanced data features</em> </li><li><em>Enhance data visualizations using analytics features in Tableau</em> </li><li><em>Generate advanced calculations</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div> </div><div><em>This course equips you with advanced data and analytics skills to prepare and visualize data in Tableau, helping you tackle complex data scenarios. </em> </div><div> </div><div><em>You will learn how to assess and integrate data sources, ensure data freshness through scheduling and alerts, and customize datasets to meet your analysis needs. </em> </div><div> </div><div><em>Additionally, you’ll master data transformation in Tableau Prep Builder and apply advanced calculations to enhance your visualizations. </em> </div><div> </div><div><em>By the end of this course, you’ll be well-prepared for the Tableau Certified Data Analyst exam, making you a valuable asset in any data-driven organization.</em> </div><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most of this Course </li></ul><div><strong>Module 1: Working with Advanced Tableau Data Features</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Publishing and Managing Content on the Tableau Server </li><li>Reading: Choosing an Appropriate Data Source </li><li>Video: Schedule Data Updates and Create Alerts and Subscriptions </li><li>Video: Running Custom SQL Queries on Data </li><li>Video: Using Folders to Organize Data </li><li>Video: Using Sets to Structure Data </li><li>Video: Using Bins and Groups to Structure Data </li><li>Lab: Organize and Structure Data with Tableau </li><li>Video: Customizing and Converting Fields </li><li>Video: Using Pivot and Split to Prepare Data </li><li>Lab: Prepare Data with Tableau </li><li>Video: Introducing Tableau Prep Builder </li><li>Video: Transforming Data using Tableau Prep Builder </li><li>Lab (Optional): Transforming Data with Tableau Prep Builder </li><li>Practice Quiz: Module 1: Working with Advanced Tableau Data Features </li><li>Reading: Module Summary: Working with Advanced Tableau Data Features </li><li>Graded Quiz: Working with Advanced Tableau Data Features </li></ul><div> </div><div><strong>Module 2: Working with Advanced Calculations and Analytics Features</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Creating Calculated Fields </li><li>Video: Working with Quick Table Calculations </li><li>Video: Adding Totals and Customizing Table Calculations </li><li>Lab: Create Calculated Fields and Calculations </li><li>Video: Using the Analytics Feature to Summarize and Customize Data </li><li>Video: Using the Analytics Feature to Model Data </li><li>Video: Using the Analytics Feature to Forecast Data </li><li>Lab: Use Analytics Features in Tableau </li><li>Practice Quiz: Module 2: Working with Advanced Calculations and Analytics Features </li><li>Reading: Module Summary: Working with Advanced Calculations and Analytics Features </li><li>Graded Quiz: Working with Advanced Calculations and Analytics Features </li><li>Reading: Course Wrap-up </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgment </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Feedback </li><li>Reading: How to claim your certificate </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course is suited for those preparing for Tableau Certified Data Analyst roles. Some experience with Tableau Public is recommended.</em> </div>
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Tableau: Advanced Data and Analytics Features

Gain hands-on experience with Tableau, mastering advanced data skills, customizing fields, using Tableau Prep Builder, and preparing for the Certified Data Analyst exam. 

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  <div>I was learning about time series forecasting and stumbled upon the <a href="https://developer.ibm.com/tutorials/awb-foundation-model-time-series-forecasting/">Using the IBM Granite models for time series forecasting</a> tutorial. This sparked my curiosity and made me even more invested in the field of time series forecasting, particularly how foundational models can be used to predict future trends more accurately than traditional machine learning methods. These models offer the advantage of being pre-trained on large datasets, making them ideal for capturing complex patterns in time series data.<br /><br />Accurate time series forecasting is critical in industries such as finance, healthcare, and logistics. In this guided project, you will learn how to build a powerful time series forecasting model using <strong>IBM’s Tiny Time Mixer (TTM)</strong>. You will use the Bitcoin Price dataset and preprocess it, fine-tune the model, and evaluate its performance on unseen data, providing insights that can help predict trends, optimize operations, or make data-driven decisions.<br /><br />Foundational models such as Tiny Time Mixer (TTM) are particularly effective for time series forecasting because they are pre-trained on large datasets and designed to capture complex patterns in temporal data. Unlike traditional machine learning models, which often struggle with longer sequences and fail to generalize well, foundational models excel at learning and predicting from large amounts of data, making them ideal for tasks like forecasting financial trends, market movements, or any other sequential data.<br /><br /></div><div>This project walks you through the end-to-end process of time series forecasting:<br /><br /></div><ol><li><strong>Data Preparation</strong>: You’ll start by loading a dataset and performing essential preprocessing steps.</li><li><strong>Model Setup</strong>: Learn how to load the Tiny Time Mixer (TTM) model, configure training arguments, and fine-tune the model on your dataset using advanced techniques like early stopping and learning rate scheduling.</li><li><strong>Evaluation</strong>: After training, you’ll evaluate the model using key performance metrics, such as <strong>Root Mean Squared Error (RMSE)</strong>, and visualize the predictions to compare them with actual data.</li><li><strong>Making Predictions</strong>: With the trained model, you’ll predict future values based on historical trends and assess how well the model generalizes.</li></ol><div><br />In just 1 hour, you will gain hands-on experience in building a time series forecasting pipeline, training the model, and analyzing its results. The insights gained from this project are transferable to real-world applications, such as predicting stock market trends, sales forecasts, or sensor data patterns.<br /><br />------------------------------------------------------------------------------------------------------------------<br /><br /></div><h1><strong>What you'll learn</strong></h1><div>By completing this project, you will:</div><ul><li>Generate and preprocess a time series dataset.</li><li>Learn to split the dataset into training, validation, and test sets.</li><li>Use the zero-shot learning to make predictions.</li><li>Fine-tune the <strong>Tiny Time Mixer (TTM)</strong> model for time series forecasting.</li><li>Evaluate the performance of the model using metrics such as RMSE.</li><li>Visualize and compare predicted values with actual time series data.</li></ul><div><br />------------------------------------------------------------------------------------------------------------------<br /><br /></div><h1><strong>Significance of this project</strong></h1><div>Time series forecasting is crucial for many business and research applications. Accurately predicting future data points allows organizations to make informed decisions, optimize resources, and drive strategic growth. This project equips you with practical skills to build and fine-tune time series forecasting models, which can be applied across domains like finance, healthcare, and operations. Benefits of this project include:</div><ul><li><strong>Hands-on experience</strong>: Build a practical time series forecasting model using IBM’s <strong>Tiny Time Mixer (TTM)</strong>.</li><li><strong>End-to-end process</strong>: Learn the full pipeline from dataset creation and preprocessing to model training and evaluation.</li><li><strong>Enhance decision-making</strong>: Apply the model to real-world scenarios, improving predictive analytics for various industries.</li></ul><div><br />------------------------------------------------------------------------------------------------------------------<br /><br /></div><h1><strong>Who should enroll</strong></h1><div>This project is ideal for:</div><ul><li><strong>Data scientists</strong> and machine learning engineers who want to enhance their time series forecasting skills.</li><li><strong>Financial analysts</strong> who need to predict market trends based on historical data.</li><li><strong>Tech enthusiasts</strong> who are interested in learning AI techniques for time series data.</li><li><strong>Students</strong> or professionals looking to build forecasting models for sales, demand, or sensor data.</li></ul><div><br />------------------------------------------------------------------------------------------------------------------<br /><br /></div><h1><strong>What you'll need</strong></h1><div>Before starting this project, ensure you have the following:</div><ul><li>Basic knowledge of Python programming and machine learning.</li><li>Familiarity with time series data and concepts is helpful but not mandatory.</li><li>A reliable internet connection to access cloud-based tools and environments.</li><li>A web browser (Chrome, Edge, Firefox, Safari).</li></ul><div><br />------------------------------------------------------------------------------------------------------------------<br /><br /></div><h1><strong>Why enroll</strong></h1><div><br /></div><div>By the end of this project, you will have developed a robust time series forecasting model that can predict future values based on historical data. Whether you're forecasting stock prices, sales trends, or analyzing sensor data, this project provides a practical, real-world skill set that can be applied to various industries. Enhance your forecasting capabilities with AI-driven solutions and take your predictive analytics to the next level!</div>
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Predict Bitcoin Close Prices using Foundational Models

Bitcoin price prediction is within reach! Build a Time Series Forecasting model using IBM’s Tiny Time Mixer (TTM) foundational model. In this hands-on project, you'll learn how to preprocess time series data, train the model, and evaluate predictions to gain deeper insights into market trends. Perfect for data scientists, financial analysts, and tech enthusiasts, this project enhances your ability to make accurate predictions and sharpen your forecasting skills using real-world Bitcoin price data.

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  <div><strong><em>Disclaimer: For Educational Purposes Only</em></strong></div><div><em>This guided project is intended purely for educational purposes and should not be considered a political statement or a definitive forecasting tool. Our aim is to teach the principles of data analysis and machine learning using real-world data sets, while emphasizing the ethical considerations and limitations of predictive models in a highly unpredictable environment.<br /></em><br /></div><div>_________________________________________________________<br /><br /></div><h1>A Look at the Project Ahead: Can Data Predict Election Outcomes?</h1><div>In the world of political forecasting, even the most confident predictions can be shaken by a single unexpected event. Think back to the 2016 and 2020 US elections—polls and pundits were confident in their outcomes, yet the results sent shockwaves across the globe. How can data science offer insights into the future of political races while remaining mindful of its limitations?<br /><br /></div><div>Imagine using Python and machine learning (ML) to dig into the complex world of US election data, uncovering trends and patterns that might help make sense of how people vote. This hands-on project invites you to step into the shoes of a data scientist, exploring the 2024 US election landscape with logistic regression, decision trees, and more. You’ll work through every step, from gathering polling data to feature engineering and building models that adapt to the unique political dynamics of swing states. By the end, you’ll have a toolkit for predictive modeling and a deeper understanding of the challenges behind election forecasts.<br /><br />
      <img src="https://author.skills.network/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MzI3MTMsInB1ciI6ImJsb2JfaWQifX0=--ca37a16dfcd2722011eaed554efd7902c8f75e14/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJwbmciLCJsb2FkZXIiOnsibiI6LTF9LCJyZXNpemVfdG9fbGltaXQiOlsxMDI0LDc2OF19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--d5cef5cc4423e679c464df97b6ff7a8fa3dec7ab/poll-overview.png" />

  
      Are you interested in analysing polling data?
  
<br /><br />_________________________________________________________</div><div><br /></div><h1>What You'll Learn</h1><ul><li><strong>Data gathering &amp; preprocessing</strong>: Collect and clean polling data to ensure meaningful analysis.</li><li><strong>Exploratory data analysis (EDA)</strong>: Uncover trends and relationships in electoral data.</li><li><strong>Feature engineering</strong>: Create robust features to capture the nuances of polling data and swing state dynamics.</li><li><strong>Regression models</strong>: Build and evaluate regressor-based models tailored to each swing state.</li><li><strong>Ensemble techniques</strong>: Experiment with stacking regressors to improve prediction accuracy.</li><li><strong>Time-based weighting</strong>: Apply time-decay functions to prioritize recent polling data.</li><li><strong>Model evaluation</strong>: Use metrics like Mean Absolute Error (MAE) and the number of correctly predicted winners to assess model performance.</li></ul><div>_________________________________________________________<br /><br /><br /></div><h1>Who Should Complete This Project</h1><ul><li><strong>Aspiring data scientists</strong>: Looking to practice predictive modeling with a real-world dataset.</li><li><strong>Python beginners</strong>: With a basic understanding of Python and Pandas, ready to dive into hands-on data analysis.</li><li><strong>Machine learning enthusiasts</strong>: Wanting to explore regression models, feature engineering, and advanced techniques like ensemble methods.</li><li><strong>Political data fans</strong>: Interested in the intersection of data science and electoral trends, while understanding the ethical implications of forecasting.</li></ul><div>_________________________________________________________<br /><br /></div><div><br /></div><h1>What You'll Need</h1><ul><li><strong>A basic understanding of Python</strong>: Familiarity with Python programming is essential for working with the code and concepts in this tutorial.</li><li><strong>Foundational data analysis knowledge</strong>: Understanding key concepts like data cleaning, manipulation, and visualization will help you navigate the project smoothly.</li><li><strong>Access to modern web browsers</strong>: Make sure you have access to a modern web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari.</li><li><strong>A learning mindset</strong>: Be open to exploring data critically and understanding the unpredictable nature of elections.</li></ul><div><br />_________________________________________________________<br /><br /><br /></div><div>Ready to dive into the fascinating world of political forecasting? Equip yourself with essential data science skills and gain valuable hands-on experience by predicting the 2024 US Election. Click <strong>ENROLL </strong>to get started and see how your models stack up against the real electoral landscape. Let’s turn data into insights—join the project today and make your predictions count!</div>
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Predict 2024 US Election with EDA & Machine Learning

Predict the 2024 US Election with Exploratory Data Analysis (EDA), Pandas, and scikit-learn. In this hands-on project, master EDA, feature engineering, and regression modeling as you gather and preprocess polling data. Build separate models for each swing state, respecting the chronological order of events, and evaluate performance using metrics like MAE. Discover advanced techniques like ensemble methods and time-based weighting, while exploring the ethical considerations and limitations of political forecasting.

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  <div><em>By completing this course, you'll gain the expertise to apply data analysis techniques, derive insights, and uncover patterns in data using various tools like Excel, PostgreSQL, and Tableau.</em> </div><div> </div><div><strong><em>You will learn:</em></strong></div><ul><li><em>Showcase your ability to apply data analysis techniques to real-world datasets and derive meaningful insights.</em> </li><li><em>Develop and execute a practical BI project using tools.</em> </li><li><em>Present project outcomes, highlighting their impact on decision-making and business performance.</em> </li><li><em>Showcase proficiency in using BI tools and technologies, such as data visualization tools and data management systems.</em> </li></ul><div><strong>Course Overview</strong> </div><div><em>This course equips you with essential data analysis techniques to extract meaningful insights and discover patterns.</em> </div><div> </div><div><em>You will work with various tools such as Excel for data cleaning and basic visualizations, PostgreSQL and pgAdmin for data querying and complex analysis.</em> </div><div> </div><div><em>By the end of the course, you will be prepared to present BI project outcomes in a way that showcases that impact on business performance, making you a valuable asset in data-driven organizations.</em> </div><div> </div><div><em>Additionally, you will be equipped with a variety of artifacts showing your business intelligence skills.</em> <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li><li>Reading: Business Scenario and Dataset Details </li></ul><div><strong>Module 1: Data Cleaning and Preparation Using Excel</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objective </li><li>Video: Assignment Overview: Data Cleaning and Preparation </li><li>Lab: Data Cleaning and Preparation </li><li>Video: Assignment Overview: Basic Analysis Using Pivot Tables </li><li>Lab: Basic Analysis Using Pivot Tables </li><li>Checklist: Module 1: Data Cleaning and Preparation Using Excel </li><li>Graded Quiz: Module 1: Data Cleaning and Preparation Using Excel </li></ul><div><strong>Module 2: Data Querying and Analysis Using PostgreSQL</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objective </li><li>Video: Assignment Overview: Data Querying Using PostgreSQL </li><li>Lab: Data Querying Using PostgreSQL </li><li>Video: Assignment Overview: Data Analysis Using PostgreSQL </li><li>Lab: Data Analysis Using PostgreSQL </li><li>Checklist: Module 2: Data Querying and Analysis Using PostgreSQL </li><li>Graded Quiz: Module 2: Data Querying and Analysis Using PostgreSQL </li></ul><div><strong>Module 3: Data Visualization and Statistical Analysis</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objective </li><li>Video: Assignment Overview: Data Visualization Using Excel </li><li>Lab: Data Visualization Using Excel </li><li>Video: Assignment Overview: Statistical Analysis Using Excel </li><li>Lab: Statistical Analysis Using Excel </li><li>Checklist: Module 3: Data Visualization and Statistical Analysis  </li><li>Graded Quiz: Module 3: Data Visualization and Statistical Analysis  </li></ul><div><strong>Module 4: Data Visualization and Dashboards with Tableau</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objective </li><li>Video: Assignment Overview: Basic Tableau Visualizations </li><li>Lab: Creating Basic Tableau Visualizations </li><li>Video: Assignment Overview: Advanced Visualization Using Tableau </li><li>Lab: Creating Interactive Dashboards in Tableau </li><li>Checklist: Module 4: Data Visualization and Dashboards with Tableau </li><li>Graded Quiz: Module 4: Data Visualization and Dashboards with Tableau </li></ul><div><strong>Module 5: Present Your BI Analysis Findings</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objective </li><li>Video: Structure of a Presentation </li><li>Video: Best Practices for Presenting Your Findings </li><li>Lab: (Optional): Getting Started with PowerPoint for the Web </li><li>Lab: (Optional): Save Your PowerPoint Presentation as a PDF </li><li>Reading: Assignment Overview </li><li>Reading: Preparing Your Presentation </li><li>Peer Review: Present Your BI Analysis Findings </li></ul><div><strong>Module 6: Final Exam</strong> </div><ul><li>Reading: Module 6 Introduction and Learning Objective </li><li>Reading: Final Exam Overview </li><li>Graded Assignment: Final Exam </li><li>Reading: Re-take Exam </li></ul><div><strong>Module 7: Course Wrap up</strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li></ul><div><strong>Module 7: Ace Your Job Hunt (Bonus Module)</strong> </div><ul><li>Reading: Module 8 Introduction and Learning Objective </li><li>Reading: Creating Your Resume </li><li>Video: Tips for Developing Your Portfolio </li><li>Lab: Develop Your Personal Portfolio </li><li>Video: Job Search Strategies for BI analysts </li><li>Video: Networking and Building an Online Presence </li><li>Video: Interview Preparation for BI Analysts </li></ul><div><strong>Module 9: Course Rating &amp; Feedback</strong> </div><ul><li>Reading: Feedback </li><li>Badge </li><li>Reading: How to Claim Your Certificate </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course is designed for learners looking to apply their data analysis skills. Prior knowledge is required.</em> </div>
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Business Intelligence: Capstone Project

Gain hands-on experience on data analysis with Excel, PostgreSQL, and Tableau to execute a BI project and enhance decision-making and performance. 

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  <div><em>By completing this course, you’ll gain the expertise to create advanced data visualizations using Tableau and effectively communicate analytic insights to stakeholders.</em> </div><div> </div><div><strong><em>You will learn:</em></strong> </div><div> </div><ul><li><em>Apply advanced techniques to create interactive and dynamic visualizations in Tableau for data presentation</em> </li><li><em>Demonstrate a comprehensive understanding of Tableau’s capabilities and features such as advanced formatting, dashboard design and web objects</em> </li><li><em>Create interactive dashboards in Tableau and incorporate navigation.</em> </li><li><em>Use Tableau features to deliver insightful dashboards and stories for data exploration and manipulation</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>The Advanced Data Visualization with Tableau course provides hands-on experience in creating sophisticated data visualizations that go beyond the basics. You’ll start by learning how to connect Tableau to SQL databases, creating data linkages, and creating hierarchies for effective analysis, starting with data connectivity and modeling.</em> </div><div> </div><div><em>You’ll also learn sophisticated modeling approaches, execute computations, and optimize data models for performance. The course is designed to teach you how to control data granularity, utilize calculated fields, and investigate expressions for ‘Level of Detail’ in complicated analytics.</em> </div><div> </div><div><em>You will create your dashboard and link it to other dashboards to create seamless data journeys to analyze and explore data effectively. Additionally, you will learn tooltips, hierarchical navigation, and creating user-friendly interfaces.</em> </div><div> </div><div><em>By the end of this course, you’ll be proficient in creating dynamic dashboards in Tableau and gain practical skills working on real-world scenarios to stand out in the job market!<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Data Sources, Data Modelling, and Advanced Analytics</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Connecting Tableau to Data Sources </li><li>Video: Understanding Data Relationships and Hierarchies </li><li>Reading: Union Tables and Blend Data </li><li>Video: Building Hierarchies </li><li>Lab: Building Hierarchies in Tableau </li><li>Video: Applying Data Model Optimization Techniques – Part 1 </li><li>Video: Applying Data Model Optimization Techniques – Part 1 </li><li>Video: Implementing Data Modeling in Tableau </li><li>Lab: Implementing Data Modeling in Tableau </li><li>Video: Creating Basic Visualizations using Calculations </li><li>Video: Understanding Level of Detail (LOD) Expressions </li><li>Video: Utilizing Level of Detail (LOD) Expressions </li><li>Lab: Creating Visualizations and Calculations and Calculated Fields </li><li>Video: Leveraging Calculated Fields for Advanced Analytics </li><li>Video: Managing Data Granularity and Aggression </li><li>Reading: Exploring Advanced Aggression Techniques </li><li>Lab: Using Calculated Fields for Advanced Analysis </li><li>Practice Quiz: Data Sources, Data Modeling, and Advanced Analytics </li><li>Reading: Module 1 Summary: Data Sources, Data Modeling, and Advanced Analytics </li><li>Module 1 Graded Quiz: Data Sources, Data Modeling, and Advanced Analytics </li></ul><div><strong>Module 2: Advanced Formatting and User Experience in Visualization</strong> </div><ul><li>Reading: Module Introduction &amp; Learning Objectives </li><li>Video: Advanced Formatting and User Experience in Desktop </li><li>Video: Using Tooltips for Enhanced Data Insights </li><li>Video: Using Tooltips with Hierarchical Navigation </li><li>Reading: Designing Intuitive User Experiences in Tableau </li><li>Lab: Optimizing Visualizations and User Interaction </li><li>Video: Incorporating Actions and Navigation in Dashboards </li><li>Lab: Configuring Dashboard Actions </li><li>Video: Creating Story Points for Data Storytelling </li><li>Video: Sharing Dashboards Securely with Stakeholders </li><li>Reading: Elevating Dashboard Interactivity in Tableau </li><li>Video: Utilizing Dashboards Extensions and Web Objects </li><li>Lab: Adding Dashboard Extensions in Tableau </li><li>Practice Quiz: Advanced Formatting and User Experience </li><li>Module 2 Summary: Advanced Formatting and User Experience </li><li>Module 2 Graded Quiz: Advanced Formatting and User Experience </li></ul><div> </div><div><strong>Module 3: Final Project and Final Quiz</strong> </div><ul><li>Reading: Module Introduction &amp; Learning Objectives </li><li>Reading: Practice Project Overview </li><li>Lab: Practice Project </li><li>Reading: Final Project Overview </li><li>Reading: Final Project: Working with the New York Airbnb Pricing Report in Tableau Public </li><li>Peer Graded Assessment </li><li>Final Quiz </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li><li>Reading: Copyrights and Trademarks </li><li>Form: Feedback </li><li>Reading: How to Claim your Certificate </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>This course is ideal for anyone curious about Tableau’s capabilities. Some prior experience with Tableau Public is recommended but not required.</em> </div>
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Tableau: Advanced Dashboards and Stories

Gain hands-on experience with Tableau, mastering advanced data visualizations like dual-axis charts, customizing spatial analytics, and adding complexity with multilayer insights. 

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  <div><em>By completing this course, you'll gain the expertise to excel in data visualization using Tableau Public and position yourself for success in real-world data projects.</em> </div><div> </div><div><strong><em>You will learn:</em></strong> </div><ul><li><em>Master Tableau fundamentals, from importing and exploring data to visualizing complex data sets.</em> </li><li><em>Implement relationships between data tables and leverage Tableau calculations for in-depth analysis and insights.</em> </li><li><em>Create dynamic, interactive dashboards and apply best practices for effective data visualization.</em> </li><li><em>Craft compelling Tableau stories, using real-time data updates and customization for optimal storytelling in data visualization.</em> </li><li><em>Develop skills in organizing visual elements and applying design principles to create professional, interactive dashboards.</em> </li><li><em>Learn to utilize Tableau Public as a Business Intelligence (BI) tool for analyzing and visualizing data.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>As the demand for data professionals grows across industries, this course offers practical, hands-on experience with Tableau Public, one of the leading data visualization tools. You will progress from understanding Tableau’s core features to importing, exploring, and visualizing data.</em> </div><div> </div><div><em>The course covers the full range of Tableau’s capabilities, from basic visualizations to real-time data integration, empowering you to create insights-driven visual stories. You’ll learn how to apply best practices in data storytelling and dashboard design to present data in a meaningful and engaging way.</em> </div><div> </div><div><em>Throughout the course, you will participate in practical exercises based on real-world scenarios to ensure that the knowledge you gain is aligned with the skills employers are seeking. </em> </div><div> </div><div><em>By the end of the course, you'll be ready to build a professional portfolio that demonstrates your proficiency in Tableau and your ability to tackle data visualization challenges in various industries.</em> </div><div> </div><div><em>If you’re ready to unlock the full potential of Tableau for data visualization and analysis, enroll today!<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Introduction to Tableau</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Introduction to Tableau </li><li>Reading: Tableau Products and Key Features </li><li>Lab: Sign Up for Tableau Public </li><li>Video: Download and Install Tableau Public </li><li>Video: Importing Data into Tableau </li><li>Video: Navigating the Tableau Interface </li><li>Lab: Importing and Exploring Data in Tableau </li><li>Practice Assignment: Practice Quiz: Tableau Fundamentals </li><li>Video: Data Cleaning Techniques in Tableau </li><li>Video: Creating Basic Visualizations </li><li>Video: Saving, Exporting, and Sharing Your Work </li><li>Lab: Cleaning Data and Creating Visualizations in Tableau </li><li>Practice Quiz: Module 1: Introduction to Tableau </li><li>Reading: Module 1 Summary: Introduction to Tableau </li><li>Graded Quiz: Introduction to Tableau </li></ul><div><strong>Module 2: Customizing Visualizations, Creating Dashboards and Stories</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Enhancing Visual Appeal with Customization </li><li>Video: Creating and Customizing Advanced Visualizations  </li><li>Video: Empowering User Interaction with Filters and Highlighting </li><li>Lab: Crafting Interactive Visualizations in Tableau </li><li>Video: Principles of Dashboard Design in Tableau </li><li>Video: Organizing Visual Elements on Dashboards </li><li>Video: Creating Interactive Filters and Parameters </li><li>Reading: Using Parameters for Interactivity </li><li>Reading: Best Practices for Dashboard Design in Tableau </li><li>Lab: Designing Interactive Dashboards in Tableau </li><li>Video: Real-Time Data Updates and Refresh Options </li><li>Video: Principles of Story Creation in Tableau </li><li>Video: Creating Stories in Tableau </li><li>Hands-on Lab: Creating a Simple Story in Tableau </li><li>Reading: Best Practices for Stories </li><li>Video: Enhancing and Customizing Stories </li><li>Hands-on Lab: Customizing a Story in Tableau </li><li>Practice Assignment: Practice Quiz: Creating Effective Stories </li><li>Reading: Module 2 Summary: Customizing Visualizations, Creating Dashboards and Stories </li><li>Graded Assignment: Graded Quiz: Customizing Visualizations, Creating Dashboards and Stories </li></ul><div><strong>Module 3: Final Project and Final Quiz </strong> </div><ul><li>Reading: Final Project Overview </li><li>Reading: Final Project – Hands-on Lab: Working with the World Happiness Report in Tableau Public </li><li>Peer-Graded Assignment: Final Project: Peer-Graded Assessment </li><li>Review Your Peers: Final Project: Peer-Graded Assessment </li><li>Graded Assignment: Final Quiz </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks for the Course Team </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><em>No prior Tableau experience is required. This course is suitable for both beginners and data professionals looking to enhance their visualization skills.</em> </div>
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Tableau: Fundamentals

Gain hands-on experience with Tableau Public, mastering data visualization fundamentals and creating interactive dashboards. Learn to implement relationships between data tables, apply Tableau calculations, and enhance user interaction.  

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  <div>This Statistical Analysis Fundamentals Using Excel course teaches you the skills you need to embark on your career as a business intelligence (BI) analyst or data analyst. </div><div> </div><div><strong>You will learn:</strong></div><ul><li>Job-ready skills in 5 weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>The fundamental concepts of statistics and their application in business and data analytics settings </li><li>Data collection, analysis, and interpretation techniques to derive actionable insights for making informed business decisions </li><li>Descriptive and inferential analysis methods to derive insights and actionable recommendations from data </li><li>Hypothesis testing, regression analysis, and forecasting to support business decision-making processes </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>In this course, you’ll be familiar with the data and business professionals with the basic concepts of statistical analysis and methods used for data-driven decision-making. </div><div> </div><div>You’ll explore descriptive and inferential analysis methods and apply them. You’ll also use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends.  </div><div> </div><div>The hands-on labs in this course use examples to illustrate the concepts to help you gain the foundational knowledge of statistical techniques needed to solve them. </div><div> </div><div>The peer review project in this course will provide an opportunity to apply the concepts to a real-life scenario involving data-driven decision-making and an understanding of basic statistical thinking and reasoning.  </div><div> </div><div>This course is suitable for aspiring students or professionals who want to develop their careers in the BI or data analytics fields by equipping them with crucial skills and knowledge in statistical analysis.  </div><div> </div><div>If you’re keen to take your project manager career to the next level and boost your resume with in-demand skills that catch an employer’s eye, ENROLL today and have job-ready skills you can use immediately within five weeks! <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome<br /></strong><br /></div><div>·         Video: Course Introduction</div><div>·         Reading: General Information</div><div>·         Reading: Learning Objectives and Syllabus</div><div>·         Reading: Grading Scheme</div><div>·         Reading: Helpful Tips for Course Completion<br /><br /></div><div><strong>Module 1: Introduction and Descriptive Statistics<br /></strong><br /></div><div>·         Reading: Module 1 Introduction and Learning objective</div><div>·         Video: Welcome to Statistics!</div><div>·         Video: Types of Data</div><div>·         Video: Measure of Central Tendency</div><div>·         Video: Measures of Dispersion</div><div>·         Reading: Measures of Dispersion</div><div>·         Lab: Getting Started with Excel Online</div><div>·         Lab: Measure of Dispersion</div><div>·         Lab: Descriptive Statistics</div><div>·         Reading: Summary and Highlights: Introduction and Descriptive Statistics</div><div>·         Practice Quiz: Introduction to Descriptive Statistics</div><div>·         Graded Quiz: Introduction to Descriptive Statistics</div><div>·         Reading: Module 1 Glossary: Introduction and Descriptive Statistics<br /><br /></div><div><strong>Module 2: Data Visualization<br /></strong><br /></div><div>·         Reading: Module 2 Introduction and Learning objective</div><div>·         Video: Visualization Fundamentals </div><div>·         Lab: Data Visualization Using Statistical Charts</div><div>·         Video: Statistics by Groups</div><div>·         Video: Statistical Charts</div><div>·         Video: Introducing the teacher's rating data</div><div>·         Lab: Data Visualization Using Pivot Chart</div><div>·         Reading: Summary and Highlights: Data Visualization</div><div>·         Practice Quiz: Data Visualization</div><div>·         Graded Quiz: Data Visualization</div><div>·         Reading: Module 2 Glossary: Data Visualization<br /><br /></div><div><strong>Module 3: Introduction to Probability Distributions<br /></strong><br /></div><div>·         Reading: Module 3 Introduction and Learning objective</div><div>·         Video: Random Numbers and Probability Distributions</div><div>·         Video: State your hypothesis</div><div>·         Reading: Alpha (α) and P-value</div><div>·         Video: Normal Distribution</div><div>·         Lab: Standard Normal Distribution</div><div>·         Video: T-Distribution</div><div>·         Video: Probability of Getting a High or Low Teaching Evaluation</div><div>·         Lab: Probability Distribution</div><div>·         Reading: Standard Normal Table</div><div>·         Reading: Summary and Highlights</div><div>·         Practice Quiz: Introduction to Probability Distribution</div><div>·         Graded Quiz: Introduction to Probability Distribution</div><div>·         Reading: Module 3 Glossary: Introduction to Probability Distributions<br /><br /></div><div><strong>Module 4: Regression Analysis and Forecasting <br /></strong><br /></div><div>·         Reading: Module 4 Introduction and Learning objective</div><div>·         Video: Overview of Regression Analysis</div><div>·         Video: Simple Linear Regression</div><div>·         Video: Building and Interpreting Simple Linear Regression Models</div><div>·         Lab: Simple Linear Regression Analysis</div><div>·         Video: Multiple Linear Regression</div><div>·         Video: Building and Interpreting Multiple Linear Regression Models</div><div>·         Lab: Multiple Linear Regression Analysis</div><div>·         Reading: Difference between Simple and Multiple Linear Regression</div><div>·         Video: (Optional) Assumption and Diagnosis in Regression Analysis</div><div>·         Video: Forecasting with Regression</div><div>·         Video: Applying Regression Techniques for Forecasting</div><div>·         Reading: Summary and Highlights</div><div>·         Practice Quiz: Regression Analysis and Forecasting </div><div>·         Graded Quiz: Regression Analysis and Forecasting </div><div>·         Reading: Module 4 Glossary: Regression Analysis and Forecasting<br /><br /></div><div><strong>Module 5: Analysing Sales Performance and Forecasting <br /></strong><br /></div><div>·         Reading: Module 5 Introduction and Learning objective</div><div>·         Reading: About the Course Projects</div><div>·         Reading: Practice Project Overview</div><div>·         Lab: Practice Project Guide</div><div>·         Reading: Course Glossary: Statistics Fundamentals using Excel</div><div>·         Reading: Final Project Overview and Tasks</div><div>·         Final Project: Submit Your Work and Peer Review</div><div>·         Reading: Instructions for the Final Exam</div><div>·         Final Exam (Statistics Fundamentals Using Excel)</div><div>·         Reading: Re-take exam<br /><br /></div><div><strong>Module : Course Wrap-up<br /></strong><br /></div><div>·         Reading: Congratulations and Next Step</div><div>·         Reading: Team and Acknowledgments</div><div>·         Reading: Copyrights and Trademarks<br /><br /></div><div><strong>Course Rating &amp; Feedback<br /></strong><br /></div><div>·         Reading: Feedback<br /><br /></div><div><strong>Badge<br /></strong><br /></div><div>·         Reading: How to claim your certificate</div><div>·         Reading: Claim your badge here</div><div> </div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Before starting this course, learners are expected to be familiar with Excel/Spreadsheet basics and high school mathematics. </div>
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Statistics Fundamentals with Excel

Get job-ready skills in statistical analysis in 5 weeks. Valuable practical experience and a credential. Basic knowledge of Excel/Spreadsheet is recommended. 

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  <div><em>By completing this course, you will acquire the skills to effectively query databases, manipulate data, and apply advanced SQL techniques across real-world datasets.</em> </div><div> </div><div><strong><em>You will learn to:</em></strong></div><ul><li><em>Analyze data with the database using SQL</em> </li><li><em>Work with live databases in the cloud and manipulate multiple tables.</em> </li><li><em>Perform CRUD operations using SQL statements like CREATE, INSERT, SELECT, UPDATE, and DELETE.</em> </li><li><em>Filter, sort, group, and aggregate data to extract meaningful insights.</em> </li><li><em>Use advanced SQL techniques such as joins, views, transactions, and stored procedures.</em> </li><li><em>Apply relational database concepts to MySQL, PostgreSQL, SQL Server, IBM Db2, and Oracle systems.</em> </li></ul><div><strong>Course Overview</strong> </div><div><br /></div><div><em>This course offers practical, hands-on experience with SQL to build a solid foundation for careers in data analytics, data science, data warehousing, and data engineering. This course is designed to help you learn and apply foundational and intermediate knowledge of the SQL language and become familiar with many relational database (RDBMS) concepts along the way. </em> </div><div> </div><div><em>You will start by performing basic Create, Read, Update and Delete (CRUD) operations using CREATE, SELECT, INSERT, UPDATE, and DELETE statements. You will also learn to filter, order, sort, and aggregate data and work with functions, perform sub-selects and nested queries, and JOIN data in multiple tables. You will learn to work with VIEWS, transactions, and create stored procedures.</em> </div><div> </div><div><em>Throughout the course, you will create a relational database instance in the cloud and practice writing SQL queries on live datasets.</em> </div><div> </div><div><em>At the end of the course, you will complete a final project to demonstrate your SQL proficiency. This project will involve working with multiple datasets to answer questions and deliver insights, much like tasks performed in real data-related roles.</em> <br /><br /><strong>Course Syllabus</strong> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Getting Started with SQL</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Introduction to Databases </li><li>Video: SELECT Statement </li><li>Reading: SELECT Statement Example </li><li>Lab: Simple SELECT Statements </li><li>Video: COUNT, DISTINCT, LIMIT </li><li>Lab: COUNT, DISTINCT, LIMIT </li><li>Video: INSERT Statement </li><li>Video: UPDATE and DELETE Statement </li><li>Practice Quiz: Module 1: Getting Started with SQL </li><li>Reading: Summary &amp; Highlights: Module 1: Getting Started with SQL </li><li>Graded Quiz: Module 1: Getting Started with SQL </li></ul><div><strong>Module 2: Introduction to Relational Databases and Tables</strong> </div><ul><li>Video: Relational Database Concepts  </li><li>Video: Types of SQL Statements (DDL vs. DML) </li><li>Video: CREATE TABLE Statement </li><li>Video: ALTER, DROP, and Truncate Tables </li><li>Reading: Examples to ALTER and TRUNCATE Tables using MySQL </li><li>Reading: Examples to CREATE and DROP Tables </li><li>Lab: CREATE, ALTER, TRUNCATE, DROP </li><li>Lab: Create and Load Tables using SQL Scripts </li><li>Practice Quiz: Module 2: Introduction to Relational Databases and Tables </li><li>Reading: Optional Db2 Labs </li><li>Video: How to Create a Database Instance on Cloud </li><li>Lab: Obtain IBM Cloud Feature Code and Activate Trial Account </li><li>Lab: (Optional) Db2 Lab: Create Db2 Service Instance and Get Started with Db2 Console </li><li>Lab: (Optional) Db2 lab: CREATE, ALTER, TRUNCATE, DROP </li><li>Lab: (Optional): Db2 lab: Create and Load Tables using SQL Scripts </li><li>Reading: Summary &amp; Highlights: Module 2: Introduction to Relational Databases and Tables </li><li>Graded Quiz: Module 2: Introduction to Relational Databases and Tables </li></ul><div><strong>Module 3: Intermediate SQL</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Using String Patterns and Ranges </li><li>Video: Sorting Result Set </li><li>Video: Grouping Result Sets </li><li>Lab: String Patterns, Sorting and Grouping </li><li>Lab: (Optional) Db2 Lab: String Patterns, Sorting &amp; Grouping </li><li>Video: Built-in Database Functions </li><li>Video: Date and Time Built-in Functions </li><li>Lab: Built-in functions </li><li>Lab: (Optional) Db2 Lab: Built-in Functions </li><li>Video: Sub-Queries and Nested Selects </li><li>Lab: Sub-queries and Nested SELECTS </li><li>Lab: (Optional) Db2 Lab: Sub-queries and Nested SELECTs </li><li>Video: Working with Multiple Tables </li><li>Lab: Working with Multiple Tables </li><li>Lab: (Optional) Db2 Lab: Working with Multiple Tables </li><li>Reading: Summary &amp; Highlights: Module 3: Intermediate SQL </li><li>Graded Quiz: Module 3: Intermediate SQL </li></ul><div><strong>Module 4: Working with Real-World Datasets, Final Project &amp; Exam</strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Video: Working with Real-World Datasets </li><li>Video: Getting Table and Column Details </li><li>Lab: Getting Table and Column Details using MySQLP </li><li>Lab: (Optional): Loading Data </li><li>Lab: Working with a Real-World Dataset </li><li>Lab: (Optional) Db2 Lab: Working with a Real-World Dataset Using SQL and IBM Cloud Db2 </li><li>Reading: Final Project Overview </li><li>Lab: Final Project </li><li>Lab: (Optional) Db2 Lab: Exploratory Data Analysis with SQL </li><li>Lab: Project Evaluation (Quiz) </li><li>Quiz: Final Exam </li><li>Reading: Re-take Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Course Team </li></ul><div><strong>Module 5: Advanced SQL (Honors)</strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Reading: About This Honors Module </li><li>Video: Views </li><li>Lab: Using Views </li><li>Lab: (Optional) Db2 Lab: Using Views </li><li>Video: Stored Procedures </li><li>Lab: Stored Procedures </li><li>Lab: (Optional) Db2 Lab: Stored Procedures </li><li>Video: ACID Transactions </li><li>Lab: Committing and Rolling back a Transaction </li><li>Lab: (Optional) Db2 Lab: Committing and Rolling Back a Transaction </li><li>Video: Join Overview </li><li>Video: Inner Join </li><li>Video: Outer Joins </li><li>Lab: Joins </li><li>Lab: (Optional) Db2 Lab: Joins </li><li>Reading: Summary &amp; Highlights: Module 5: Advanced SQL (Honors) </li><li>Practice Quiz: Module 5: Advanced SQL (Honors) </li><li>Graded Quiz: Module 5: Advanced SQL (Honors) </li><li>Practice Lab: Joins </li><li>Lab: Final Project: Advanced SQL for Data Engineers </li><li>Lab: (Optional) Db2 Final Project: Advanced SQL for Data Engineers </li><li>Lab: Advanced SQL for Data Engineers </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Feedback </li><li>Reading: How to Claim your Certificate </li><li>Reading: Claim your Badge Here </li></ul><div><strong>Prerequisites</strong> </div><div>No prior knowledge of databases, SQL, or programming is required; however, some basic data literacy is beneficial. </div>
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SQL Fundamentals

Gain hands-on experience with SQL, perform CRUD operations, write queries, and build cloud databases to prepare for careers in data analytics and data science. 

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  <div>The Business Intelligence Essentials course equips you with the fundamental skills and knowledge needed to kick-start your career in the field of business intelligence, empowering you to work with data and BI tools effectively. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>The concept of business intelligence (BI), the key components and challenges involved, and the career options in this field. </li><li>Data analytics and its significance in BI, including its role in extracting insights from data. </li><li>How to evaluate different business intelligence tools and technologies to analyze the business context and requirements of a BI project. </li><li>How to develop actionable insights using appropriate tools and techniques for data gathering, wrangling, analyzing, mining, visualizing, and reporting.  </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>This course offers an in-depth introduction to business intelligence (BI), covering its core concepts, components, and the advantages and challenges of deploying BI solutions. It also explores career paths and roles within the BI field, along with the essential skills and qualifications needed. </div><div> </div><div>You will also explore the data ecosystem, the BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process for managing data. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data. </div><div> </div><div>The course provides practical experience through hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course. </div><div> </div><h1>Course Syllabus</h1><div><strong>Module 0 - Introduction<br /></strong><br /></div><div>·         Video: Course Introduction</div><div>·         Reading: General Information</div><div>·         Reading: Learning Objectives and Syllabus</div><div>·         Reading: Grading Scheme</div><div>·         Video: Overview of IBM BI Analyst Professional Certificate</div><div>·         Video: Expert Viewpoints: BI Career Path</div><div>·         Reading: Helpful Tips for Course Completion<br /><br /></div><div><strong>Module 1: Introduction to Business Intelligence (BI)<br /></strong><br /></div><div>·         Reading: Module 1 Introduction and learning objectives</div><div>·         Video: What Is Business Intelligence?</div><div>·         Video: BI, Data Analytics, Data Science, and Data Engineering: A Comparison</div><div>·         Video: Benefits of Business Intelligence</div><div>·         Video: Expert Viewpoints: Skills of a BI Analyst</div><div>·         Lab: Storyline Activity: Advantages of BI</div><div>·         Video: Expert Viewpoints: What Is BI and Why Is It Exciting?</div><div>·         Video: Data Professional Roles</div><div>·         Reading: Differences Between BI Analyst, Data Analyst, Data Engineer, and Data Scientist Roles</div><div>·         Video: Roles in Business Intelligence </div><div>·         Video: Career Opportunities and Paths in BI Analytics</div><div>·         Video: A Day in the Life of a BI Analyst</div><div>·         Lab: Storyline Activity: Journey of a BI Analyst</div><div>·         Video: Expert Viewpoint: Key Tasks in a Day in the Life of a BI Analyst</div><div>·         Reading: Summary and Highlights Module 1: Introduction to Business Intelligence (BI)</div><div>·         Practice Quiz: Module 1: Introduction to Business Intelligence (BI)</div><div>·         Graded Quiz: Module 1: Introduction to Business Intelligence (BI)</div><div>·         Reading: Module 1 Glossary: Introduction to Business Intelligence (BI)</div><div>·         Discussion Prompt: Breaking the Ice<br /><br /></div><div><strong>Module 2: The Data Ecosystem<br /></strong><br /></div><div>·         Reading: Module 2 Introduction and learning objectives</div><div>·         Video: Overview of the Data Analyst Ecosystem </div><div>·         Video: Types of Data</div><div>·         Video: Understanding Different Types of File Formats</div><div>·         Video: Sources of Data</div><div>·         Video: Viewpoints: Working with Varied Data Sources and Types</div><div>·         Video: Languages for Data Professionals</div><div>·         Reading: Metadata and Metadata Management</div><div>·         Video: Overview of Data Repositories</div><div>·         Video: RDBMS</div><div>·         Video: NoSQL</div><div>·         Video: Data Marts, Data Lakes, ETL, and Data Pipelines</div><div>·         Video: (Optional): Data Lakehouses Explained</div><div>·         Video: Introduction to Data Modeling</div><div>·         Video: Foundations of Big Data</div><div>·         Video: Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark</div><div>·         Video: Viewpoints: Considerations for Choice of Data Repository</div><div>·         Video: Data Integration Platforms</div><div>·         Video: Viewpoints: Tools, Databases, and Data Repositories of Choice</div><div>·         Reading: Summary and Highlights Module 2: The Data Ecosystem</div><div>·         Practice Quiz: Module 2: The Data Ecosystem</div><div>·         Graded Quiz: Module 2: The Data Ecosystem</div><div>·         Reading: Module 2 Glossary: The Data Ecosystem<br /><br /></div><div><strong>Module 3: BI Analytics Landscape<br /></strong><br /></div><div>·         Reading: Module 3 Introduction and learning objectives</div><div>·         Video: Key Performance Indicators (KPIs) and Metrics</div><div>·         Lab: Storyline Activity: Identifying Suitable Key Performance Indicators (KPIs)</div><div>·         Video: Descriptive Analytics</div><div>·         Video: Diagnostic Analytics</div><div>·         Video: Predictive Analytics</div><div>·         Video: Prescriptive Analytics</div><div>·         Reading: Differences between the four types of analytics</div><div>·         Lab: Storyline Activity: Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics</div><div>·         Video: Challenges in Implementing Business Intelligence</div><div>·         Video: Expert Viewpoints: Types of Analytics and Metrics</div><div>·         Video: Key Components of BI</div><div>·         Lab: Storyline Activity: Explore Components of BI</div><div>·         Reading: Overview of BI Ecosystem</div><div>·         Video: Categories of BI Tools</div><div>·         Reading: (Optional) Some Dashboard and Visualization Tools</div><div>·         Video: Understanding Business Context and Requirements for BI Projects</div><div>·         Video: Privacy and Security Issues Regulatory Compliance</div><div>·         Video: Expert Viewpoints: Responsible Business Intelligence Practices</div><div>·         Reading: Summary and Highlights Module 3: BI Analytics Landscape</div><div>·         Practice Quiz: Module 3: BI Analytics Landscape</div><div>·         Graded Quiz: Module 3: BI Analytics Landscape</div><div>·         Reading: Module 3 Glossary: BI Analytics Landscape<br /><br /></div><div><strong>Module 4: Gathering and Wrangling Data<br /></strong><br /></div><div>·         Reading: Module 4 Introduction and learning objectives</div><div>·         Reading: Introduction to the Business Intelligence Process</div><div>·         Video: Identifying Data for Analysis</div><div>·         Video: Data Sources</div><div>·         Video: How to Gather and Import Data </div><div>·         Video: What is Data Wrangling?</div><div>·         Video: Tools for Data Wrangling</div><div>·         Video: Data Cleaning </div><div>·         Video: Viewpoints: Data Preparation and Reliability</div><div>·         Reading: Summary and Highlights Module 4: Gathering and Wrangling Data</div><div>·         Practice Quiz: Module 4: Gathering and Wrangling Data</div><div>·         Graded Quiz: Module 4: Gathering and Wrangling Data</div><div>·         Reading: Module 4 Glossary: Gathering and Wrangling Data<br /><br /></div><div><strong>Module 5: Mining and Visualizing Data and Communicating Results <br /></strong><br /></div><div>·         Reading: Module 5 Introduction and learning objectives</div><div>·         Video: Overview of Statistical Analysis</div><div>·         Video: What is Data Mining?</div><div>·         Video: Tools for Data Mining</div><div>·         Video: Overview of Communicating and Sharing Data Analysis Findings</div><div>·         Video: Viewpoints: Storytelling in Data Analysis</div><div>·         Video: Introduction to Data Visualization</div><div>·         Video: Introduction to Visualization and Dashboarding Software</div><div>·         Video: Viewpoints: Visualization Tools</div><div>·         Video: Data Visualization Techniques</div><div>·         Reading: Effective Communication of BI Insights</div><div>·         Reading: Summary and Highlights Module 5: Mining and Visualizing Data and Communicating Results </div><div>·         Discussion Prompt: Visualizing Data and Communicating Findings</div><div>·         Practice Quiz: Module 5: Mining and Visualizing Data and Communicating Results </div><div>·         Graded Quiz: Module 5: Mining and Visualizing Data and Communicating Results </div><div>·         Reading: Module 5 Glossary: Mining and Visualizing Data and Communicating Results<br /><br /></div><div><strong>Module 6: Applying BI Techniques and Final Project <br /></strong><br /></div><div>·         Reading: Module 6 Introduction and learning objectives</div><div>·         Video: Expert Viewpoints: Advice for Aspiring BI Analysts</div><div>·         Reading:  Applying BI Techniques and Tools</div><div>·         Video: Developing a Comprehensive BI Project</div><div>·         Reading: Case Study: Developing a BI Project</div><div>·         Video: Expert Viewpoints: Applying BI Techniques</div><div>·         Lab: Exploring Job Listings for BI Professionals</div><div>·         Video: Expert Viewpoints: Showcasing Acquired Skills and Knowledge</div><div>·         Reading: Summary and Highlights Module 6: Applying BI Techniques and Final Project </div><div>·         Reading: Final Project: Scenario</div><div>·         Final Project Assignment</div><div>·         Reading: Course Glossary: Business Intelligence (BI) Essentials</div><div>·         Reading: Instructions for the Final Exam</div><div>·         Final Exam: Business Intelligence (BI) Essentials</div><div>·         Reading: Re-take exam<br /><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>No prior experience in business intelligence or related fields is required for this course. Basic computer skills and familiarity with data handling are beneficial but not mandatory. </div>
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Business Intelligence (BI) Fundamentals

Develop job-ready business intelligence (BI) skills, gaining practical hands-on experience and a recognized credential. No prior experience is required.

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  <div>Understanding Diwali sales patterns isn't just a skill—it's a golden opportunity for businesses to tap into the vast consumer enthusiasm that defines this festive season. Imagine a business owner preparing for Diwali: how many orders will pour in from different parts of the country? which product categories will be a hit? how should they stock inventory? These are just a few of the strategic decisions that can make or break sales success—all requiring data. Through Exploratory Data Analysis (EDA) and clustering with Python’s powerful libraries (Pandas, Matplotlib,  Scikit-learn, and Seaborn), you’ll gain actionable insights that support confident, data-driven decisions.<br /><br /></div><div>In this guided project, we’ll walk through a practical analysis of Diwali sales data, uncovering insights into consumer behavior and purchasing trends. You’ll gain hands-on experience with EDA and clustering to identify key customer segments, enabling targeted marketing and efficient resource allocation. By handling large datasets, highlighting high-impact metrics, and creating compelling visualizations, you’ll uncover valuable insights that drive strategic planning. Whether you're a data science enthusiast, a marketing professional, or a business owner, this project will empower you to make data-driven decisions that can drive success during the most critical sales periods.<br /><br />
      <img src="https://author.skills.network/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MzI1MjAsInB1ciI6ImJsb2JfaWQifX0=--b2c7e2b7e573beb3d3b8daf9d2f21fca27d96e27/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJwbmciLCJsb2FkZXIiOnsibiI6LTF9LCJyZXNpemVfdG9fbGltaXQiOlsxMDI0LDc2OF19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--d5cef5cc4423e679c464df97b6ff7a8fa3dec7ab/diwali-2.png" />

  
      Source: DALL-E
  
<br /><br /></div><h1>What you'll learn</h1><div>By the end of this project, you will be able to:</div><ul><li><strong>Analyze and manipulate data</strong> using Python’s Pandas library for efficient EDA.</li><li><strong>Identify key sales metrics</strong> to extract actionable insights into consumer behavior.</li><li><strong>Visualize data</strong> with Matplotlib and Seaborn to tell data-driven stories.</li><li><strong>Leverage clustering</strong> to segment customers, enabling personalized marketing strategies and optimized inventory planning.</li></ul><div><br /></div><h1>Who should complete this project</h1><div>This project is ideal for:</div><ul><li><strong>Data enthusiasts</strong> who want hands-on experience with Python libraries for analysis, visualization, and clustering.</li><li><strong>Marketing professionals</strong> seeking data-driven insights for tailored campaign strategies.</li><li><strong>Business owners and retail managers</strong> preparing for high-demand periods who need guidance on inventory, marketing, and staffing.</li><li><strong>Students and learners</strong> interested in building foundational skills in EDA, clustering, and data storytelling for real-world applications.</li></ul><div><br /></div><h1>What you'll need</h1><div>Before you begin this project, make sure you have:</div><ul><li>A basic understanding of Python programming.</li><li>Familiarity with foundational data analysis concepts.</li><li>Access to a computer with a modern web browser (Chrome, Edge, Firefox, Internet Explorer, or Safari).</li></ul><div><br /></div><div>Take the first step toward uncovering the secrets of Diwali sales success and using data to inform strategic decisions in the real world.</div>
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Diwali Sales Insights: EDA for Targeted Marketing

Uncover Diwali sales trends in 30 minutes! Learn EDA and clustering with Python to drive data-backed marketing strategies that boost festive sales. Using Pandas, Seaborn, Scikit-learn, and Matplotlib, explore customer segmentation to tailor your approach and enhance profitability. This hands-on project transforms raw data into actionable insights, empowering you to make informed decisions that amplify Diwali sales success and optimize inventory. Ideal for data enthusiasts, marketers, and business owners looking to achieve impactful results.

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  <div>In this guided project, you will delve into the fascinating world of AI-driven image recognition, focusing on the powerful <strong>Llama-3.2-90B-Vision-Instruct</strong> model and the watsonx API. This project is designed to showcase how these advanced technologies can transform images into detailed and insightful text descriptions, particularly in identifying actors from images. Whether you're a media professional seeking to streamline image processing or a tech enthusiast eager to explore the latest in AI, this project offers invaluable insights. Within just 30 minutes, you'll experience first hand the potential of large language models (LLMs) to revolutionize complex visual tasks, providing immediate and accurate insights that enhance efficiency in media and beyond.</div><div><strong><br />What You'll Learn</strong></div><div>After completing the project, you will be able to:</div><ul><li>Understand the capabilities and applications of the Llama-3.2-90B-Vision-Instruct model in image recognition.</li><li>Use the watsonx API to transform images into detailed text descriptions.</li><li>Master the process of identifying actors from images using AI-driven techniques.</li></ul><div><strong><br />What You'll Need</strong></div><div>To get the most out of this guided project, you should have:</div><ul><li>Familiarity with using APIs for data processing.</li><li>Access to a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari for optimal platform performance.</li></ul>
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Find Timothée Chalamet Look-Alikes Using AI with Llama

Jump into AI-driven image recognition with the powerful Llama-3.2-90B-Vision-Instruct model and the watsonx API in the ultimate Timothée Chalamet look-alike contest! This project lets you harness Llama Vision to identify actors from images, scoring contestants with a fun 'Tim-o-Meter' based on their resemblance to Timothée Chalamet. Each participant gets detailed feedback on their likeness, making it an exciting dive into actor recognition with cutting-edge AI!

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  <div>By analyzing snowfall data and developing predictive models for cost-effective snow removal, you'll build the skills that are critical for local governments, especially those in snow-prone regions. In this guided project, you'll use the <strong>History on Demand Direct API</strong> from <strong>IBM Environmental Intelligence</strong> to access and analyze historical weather data. You'll correlate that snowfall data with maintenance costs, building your skills in budget planning and resource management. This project gives you the opportunity to get hands-on experience in data-driven decision-making, preparing you to make a tangible impact on the planning and efficiency of snow removal operations. Whether you are an aspiring data analyst, a local government official, or simply interested in the intersection of weather data and public resource management, this project is a valuable addition to your skillset.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /></div><h1> <strong>What you'll learn</strong></h1><div>After completing this project, you will be able to:<br />- Access and extract historical weather data using the <strong>History on Demand Direct API</strong>.<br />- Correlate snowfall data with maintenance costs to identify trends and insights.<br />- Develop predictive models for budget planning and resource allocation in snow removal.<br />- Enhance your data-driven decision-making skills for efficient management of public resources.<br /><br /><br /><strong>Example: Can you analyze and apply lessons from this graph<br /><br /></strong>
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<strong><br /><br /><br /></strong><br /><br /></div><h1><strong> What you'll need</strong></h1><div>Before starting this guided project, ensure that you have:<br />- Basic knowledge of data analysis and statistics.<br />- Familiarity with Python programming language.<br />- Access to a modern web browser like Chrome, Edge, Firefox, Internet Explorer, or Safari.<br /><br /><br /></div>
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Analyze Weather Data to Calculate a Snowfall Removal Budget

Leverage the History on Demand Direct API in IBM Environmental Intelligence to analyze snowfall data and develop predictive models for cost-effective snow removal. In this 30-minute guided project, you'll learn to access historical weather data, correlate it with maintenance costs, and enhance budget planning for local governments. Gain practical skills in data-driven decision-making for efficient resource management and strategic planning in snow-prone regions.

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  <div>Explore the optimization of crew scheduling using Python and IBM Environmental Intelligence APIs. Learn to enhance operational efficiency while promoting sustainable practices in utility companies. This guided project integrates carbon-aware technologies with dispatch operations, helping to reduce greenhouse gas emissions and align business goals with environmental responsibility. You'll gain firsthand experience in applying data analysis for route optimization, which is an essential step towards sustainable organizational practices. In just 30 minutes, this project will get you started in exploring practical solutions to not only improve efficiency, but also contribute to a greener planet.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /></div><h1><strong>What you'll learn</strong></h1><div>After completing this project, you will:<br />- Understand the integration of IBM Environmental Intelligence APIs for optimizing crew scheduling.<br />- Know how to use Python for data analysis aimed at reducing carbon emissions.<br />- Develop skills in route optimization to support sustainable practices within utility operations.<br />- Gain insights into balancing environmental impact with operational efficiency.<br /><br /><strong>Comparison of time and emissions of different routes<br /><br /></strong>
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<br /><br /><br /></div><h1><strong>What you'll need</strong></h1><div>To complete this guided project, you need:<br />- Basic knowledge of Python programming.<br />- Familiarity with data analysis concepts.<br />- Access to a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience on the IBM Skills Network Labs platform.<br /><br />Note that the IBM Skills Network Labs environment comes with many tools pre-installed, including Docker, to streamline your setup process.</div>
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Plan Emission-Optimized Crew Routes and Schedules

Use data analysis to optimize crew scheduling while focusing on greenhouse gas reduction. Using IBM Environmental Intelligence APIs and Python, this guided project shows you how to integrate carbon-aware technologies for sustainable operations in utility company dispatches, balancing environmental impact with operational efficiency. Within 30 minutes, you'll be digging into practical solutions for route optimization to enhance your organization's sustainability practices. 

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  <div>Utilizing the Transportation and Distribution API to calculate greenhouse gas (GHG) emissions is a crucial step towards sustainable logistics and transportation. With increasing pressure on industries to reduce carbon footprints, understanding the impact of various factors on emissions is more important than ever. This guided project is designed to empower logistics professionals and environmental consultants by providing them with the tools and knowledge needed to optimize transportation strategies and make informed decisions. In just 30 minutes, you will explore methods such as fuel use, vehicle distance, and weight distance to understand how different data scenarios affect emissions calculations. By the end of this project, you'll not only be equipped to calculate emissions effectively but also to contribute meaningfully to efforts aimed at reducing environmental impacts.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /></div><div><br /></div><h1><strong>What you'll learn</strong></h1><div><br />After you complete the project, you will be able to:<br /><br /></div><ul><li>Understand the principles of calculating GHG emissions using the Transportation and Distribution API.</li><li>Analyze the impact of key transportation factors, such as fuel consumption, vehicle distance, and cargo weight, on emissions.</li><li>Optimize logistics strategies to reduce carbon footprints and enhance sustainability.</li><li>Make informed decisions that balance operational efficiency with environmental responsibility.</li></ul><div><br /><strong>Are you curious about CO2e emissions and how they relate to your logistics strategy?<br /></strong><br />
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 <br /><br /></div><h1><strong>What you'll need</strong></h1><div><br /></div><div>To get started with this project, you will need:<br /><br /></div><ul><li>A basic understanding of APIs and how they function.</li><li>Familiarity with data analysis concepts to interpret emissions data effectively.</li><li>Access to a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.</li></ul>
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Freight Emission Calculator: Analyze and Optimize

Using the Transportation and Distribution API from Environmental Intelligence, calculate greenhouse gas (GHG) emissions for freight journeys. Explore methods such as fuel use, vehicle distance, and weight distance to understand the impact of data scenarios on emissions calculations. This guided project empowers logistics professionals and environmental consultants to optimize transportation strategies, reduce carbon footprints, and make informed decisions in 30 minutes.

<div>This Professional Certificate (PC) teaches you the skills you need to enhance your career as a Scrum Master. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>How to master the practical skills and update the knowledge IT Scrum Masters use in their daily roles&nbsp;</li><li>Agile concepts of adaptive planning, iterative development, and continuous improvement, resulting in early customer deliveries and value&nbsp;</li><li>How to gain knowledge regarding software engineering, software development lifecycle (SDLC), software development tools, and DevOps essential characteristics&nbsp;</li><li>How to apply your new skills to real-world projects, build a portfolio, and prepare for the CSM certification exam from Scrum Alliance&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>This PC helps advance your career as an IT Scrum Master. Organizations adopt Agile development practices; hence, the demand for Scrum Masters, especially in the IT industries, has increased and is expected to increase in the next 10 years. &nbsp;</div><div>&nbsp;</div><div>In this PC, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market.&nbsp;</div><div>&nbsp;</div><div>Scrum Master is a crucial profession in leading teams using Agile project management methodologies. It helps to lead projects to successful completion. Scrum Masters work to remove obstacles hindering project completion or progress. They facilitate Scrum events such as daily stand-up meetings, sprint planning, sprint reviews, and retrospectives. They plan, track, and lead all communication and collaboration between leadership and key team members. &nbsp;</div><div>&nbsp;</div><div>An IT Scrum Master should be proficient in IT fundamentals, software development lifecycle (SDLC), DevOps, and Agile project management to lead successful IT projects. &nbsp;</div><div>&nbsp;</div><div>This PC will make you proficient in Scrum Master’s essential skills, tools, and methodologies. Once you complete this PC, you’ll have a portfolio of real-world projects and a professional certificate from IBM to showcase your ability to potential employers.&nbsp;</div><div>&nbsp;</div><div>Each course in this PC includes hands-on activities to apply your learnings in real world scenarios. You will build a strengths, weaknesses, opportunities, and threats (SWOT) analysis, research the software engineering role, analyze DevOps scenarios, and create an Agile plan using ZenHub. You’ll also practice some of the key tools used in software engineering and IT industries, such as operating systems, programming, databases, networking, cybersecurity, cloud, software development tools, and languages. &nbsp;</div><div>&nbsp;</div><div>In the capstone course of this PC, you will play the role of an IT Scrum Master and apply your skills and knowledge from the previous courses to a real-life inspired project scenario. The final course will test your learnings about the Scrum Master profession and help prepare you for taking the official Certified ScrumMaster (CSM) certification exam.&nbsp;</div><div>&nbsp;</div><div>This PC is best suited for existing software and IT professionals wanting to level up their careers with modern development practices and skills. The content covered in this PC will prepare you for certifications such as the Scrum Alliance CSM, PMI-ACP, and PMI-DASM.&nbsp;</div><div>&nbsp;&nbsp;</div><div>If you’re keen to take your Scrum Master career to the next level and boost your resume with in-demand generative AI competencies that catch an employer’s eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities. &nbsp;</div><div>&nbsp;&nbsp;</div>

IBM IT Scrum Master Professional Certificate

Get job-ready Scrum Master skills in five months with credentials. No prior experience required. Basic project management skills and experience are beneficial.  

<div>This Professional Certificate (PC) teaches you the skills you need to enhance your career as an IT project manager. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>In-demand, job-ready skills in project management, Scrum Master, Sprint planning, and Agile in just 3 months&nbsp;</li><li>Master the latest practical skills and tools IT project managers use in their daily tasks&nbsp;</li><li>Agile concepts of adaptive planning, iterative development, and continuous improvement leading to early deliveries and high customer value&nbsp;</li><li>How to track and manage projects, including addressing difficult client situations and how activities shift throughout the project management lifecycle&nbsp;</li><li>How to apply your new skills to real-world projects and hands-on labs&nbsp;</li></ul><div>&nbsp;</div><div><strong>PC Overview</strong>&nbsp;</div><div>&nbsp;</div><div>This PC will prepare you for the high-demand IT project manager role in the field of IT project management. You can develop the skills and learn the tools to have a competitive edge in the job market as an entry-level IT project manager in less than 4 months. No prior knowledge or experience is required.&nbsp;</div><div>&nbsp;</div><div>IT project managers track projects, manage risks, and work cross-functionally to support an organization’s IT infrastructure and software development. They often act as a bridge between the business and technical functions to drive high-impact projects to successful completion.&nbsp;</div><div>&nbsp;</div><div>This PC teaches you in-demand skills used by professional IT project managers, such as planning and managing projects, effective communication and leadership methods, and agile methodologies, and gaining a deep understanding of project management concepts, tools, and language. Additionally, you’ll receive foundational technical training in hardware, operating systems, software, cybersecurity, and cloud computing. &nbsp;</div><div>&nbsp;</div><div>In this PC, you will work with software engineering fundamentals, software development lifecycle (SDLC), software development tools, technologies, and stacks to set you up for success as an IT project manager.&nbsp;</div><div>&nbsp;</div><div>Throughout the IT Project Management Professional Certificate, you will apply your theoretical knowledge of project management to real-world scenarios via hands-on labs and projects. These hands-on labs include building a project timeline, tracking issues, or setting up a communications plan using realistic scenarios. &nbsp;</div><div>&nbsp;</div><div>The last course in this series is the Capstone course, designed for learners who have completed all the courses in the PC. It allows the learner to demonstrate their end-to-end knowledge of project management.&nbsp;</div><div>&nbsp;</div><div>Upon completing this PC, you’ll gain access to career support resources to help you in your job search, and you’ll earn a Professional Certificate from IBM to showcase your proficiency to potential employers. &nbsp;</div><div>&nbsp;</div><div>If you’re keen to take your IT project manager career to the next level and boost your resume with in-demand project management skills that catch an employer’s eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities. &nbsp;</div><div>&nbsp;</div>

IBM IT Project Manager Professional Certificate 

Get job-ready skills and tools for a project manager role in four months with valuable credentials. No prior degree or project management experience required.

<div>This Professional Certificate (PC) teaches you the skills you need to enhance your career as a project manager. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>In-demand, job-ready skills in project management, Scrum Master, Sprint planning, and Agile in just 3 months&nbsp;</li><li>The latest concepts, tools, principles, and language project managers use in their day-to-day tasks&nbsp;</li><li>How to track and manage projects, including addressing difficult client situations and how activities shift throughout the project management lifecycle&nbsp;</li><li>How to incorporate Agile concepts of adaptive planning, iterative development, and continuous improvement leading to early deliveries and customer value.&nbsp;</li><li>How to apply your skills to projects and build a portfolio that showcases your proficiency to employers while preparing for the CAPM certification exam.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>Project managers are the organization’s backbone and are in high demand worldwide. They plan, monitor, track, and manage projects and create strong communication between the stakeholders. According to the Project Management Institute (PMI), there will be nearly 88 million project management-oriented roles by 2027. &nbsp;<br>&nbsp;</div><div>This professional certificate course equips you with the skills, knowledge, and portfolio to have a competitive edge in the job market as an entry-level project manager in just 3 months. No prior knowledge or experience is required.&nbsp; &nbsp;</div><div>&nbsp;</div><div>In this PC, you’ll learn in-demand skills professional project managers use, including the processes and tools needed to set up a project for success, gain a comprehensive understanding of project management concepts, and learn project management methodologies, including Agile. &nbsp;</div><div>&nbsp;</div><div>Upon completing this PC, you’ll have a portfolio of projects to demonstrate your proficiency, such as developing project planning, schedules, roles and responsibility matrices, stakeholder management tools, and communications plans. You’ll also unlock exclusive access to career support resources and a Professional Certificate from IBM to help you in your job search.&nbsp;</div><div>&nbsp;</div><div>This PC also helps you prepare for project management certifications, such as the CAPM certification from PMI.&nbsp;</div><div>&nbsp;</div><div>In this PC, you’ll be emphasized on applied learning with a series of hands-on activities to demonstrate your skills and theory, such as building a timeline, tracking issues, or setting up a communication plan in a real-world scenario. &nbsp;</div><div>&nbsp;</div><div>At the end of this PC, you will have a capstone course that brings your learning together to test your practical skills in project management. This capstone course will help you build a portfolio of skills and projects you can share in future interviews. In addition, the final course in the PC is an exam that was designed to help prepare you for the CAPM certification exam.&nbsp;</div><div>&nbsp;</div><div>If you’re keen to take your project manager career to the next level and boost your resume with in-demand project management skills that catch an employer’s eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities.</div>

   IBM Project Manager Professional Certificate 

Get job-ready skills and tools for a project manager role in three months with valuable credentials. No prior degree or project management experience required.

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  <div>Understanding and managing greenhouse gas (GHG) emissions is an essential step for any organization committed to sustainability and environmental responsibility. This guided project focuses on a critical aspect of environmental management: calculating emissions in data centers using APIs with Python. Data centers are energy-intensive facilities, and accurately calculating emissions from electricity, steam, heat, and cooling operations is vital for transparent reporting and identifying opportunities for reduction. By engaging with this project, you will gain the skills necessary to automate these calculations, providing data scientists with the insights required to assess and improve their environmental impact.<br /><br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /><br /></div><h1>What you'll learn</h1><div><br />After completing this guided project, you will be able to:<br /><br /></div><ul><li>Understand the integration of APIs with Python for environmental data retrieval and processing.</li><li>Accurately calculate Scope 2 emissions using GHG location and Market API services.</li><li>Gain insights into minimizing carbon footprints and enhancing environmental reporting.</li></ul><div><br /><strong>Are you interested in the  location-based and market-based carbon emission intensity?<br /><br /></strong>
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<br /><br /><br /></div><h1>What you'll need</h1><div><br />To complete this project, you should have:<br /><br /></div><ul><li>A basic understanding of Python programming.</li><li>Familiarity with concepts related to greenhouse gas emissions and environmental sustainability.</li><li>Access to a modern web browser such as Chrome, Edge, Firefox, or Safari for the IBM Skills Network Labs environment, which includes many pre-installed tools like Docker to facilitate your work.</li></ul><div><br />Embark on this journey to empower yourself with the knowledge and skills to make a meaningful impact on the environmental management of data centers. By the end of this project, you'll be equipped to contribute to sustainability efforts and enhance the transparency and effectiveness of your organization's environmental reporting.</div>
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Emissions Calculator for Data Centers

This project illustrates the integration of Environmental Intelligence APIs with Python to calculate emissions in data centers, employing the GHG Location and Market API services. These APIs provide crucial emission factors, enabling automated calculations of greenhouse gas emissions related to electricity, steam, heat, and cooling operations. By understanding these emissions, data center operators can assess their environmental impact for reporting and uncover opportunities for emissions reduction. Complete this project in 30 minutes to gain insights into minimizing carbon footprints.

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  <div>For companies and individuals in the food industry, it's essential to understand and manage refrigeration emissions to achieve both environmental sustainability and regulatory compliance. Using IBM Environmental Intelligence APIs and data analytics techniques, you can significantly enhance your ability to monitor and reduce these emissions. This project offers a hands-on approach to identifying refrigerants, calculating their consumption rates, and visualizing emissions data. By transforming raw information into actionable insights, environmental managers can make informed decisions to improve sustainability efforts. In just 30 minutes, you can gain valuable skills that contribute to a greener future.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /></div><h1><strong>What you'll learn</strong></h1><div>After completing this project, you will be able to:<br />- Calculate refrigeration consumption rates to monitor usage more effectively.<br />- Visualize emissions data to gain insights and identify trends.<br />- Transform raw data into actionable insights to enhance sustainability and compliance efforts.<br /><br /></div><div><strong>Example: What can you observe from these scatter plots?</strong></div><div>- A strong correlation between emission and consumption.</div><div>- Weak or zero correlation between `emission` with `Age` and `Leak%`. <br /><br /><br />
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<br /><br /><br /><br /></div><h1><strong>What you'll need</strong></h1><div><br />To successfully complete this guided project, you will need:<br />- Basic knowledge of data analytics concepts.<br />- Familiarity with data visualization techniques.<br />- Access to a computer with a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br />- Note that the IBM Skills Network Labs environment provides pre-installed tools like Docker to facilitate your learning process.</div>
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Analyze Food Industry Refrigeration Emissions and Leaks

Manage refrigeration emissions in the food industry, calculate consumption rates, and visualize emissions data using Environmental Intelligence APIs.  In just 30 minutes, this project can help you transform raw information into actionable insights using data analytics techniques. Anyone with an interest in environmental management will be empowered to enhance sustainability and compliance efforts.

<div>Organizations today have access to more data than ever before. The sheer volume of data, coupled with the need to derive meaningful insights, has created a high demand for Data Engineers.<br><br>Data Engineers are crucial in managing and optimizing data systems, enabling businesses to leverage data for informed decision-making. To succeed in this role, data engineers need a diverse skill set to build and streamline data systems, ensuring data is accessible for analysis. This Professional Certificate program equips you with the skills needed to start your career as an entry-level data engineer.&nbsp;<br><br>By the end, you will have hands-on experience working with cloud-based relational databases (RDBMS), NoSQL data stores, Python, Bash, SQL, Big Data, and tools like Apache Hadoop and Spark for processing large datasets. You’ll also gain expertise in ETL processes, building data pipelines, using tools like Apache Kafka and Airflow, designing data warehouses, and using business intelligence tools. Throughout the program, you’ll engage in hands-on labs and projects, culminating in a Capstone project where you’ll demonstrate your practical abilities as a Data Engineer.&nbsp;<br><br>After completing this professional certificate, you will be able to:<br><br></div><ul><li>Explain the essential concepts, processes, tools, and technologies involved in data engineering.</li><li>Showcase your understanding of RDBMS fundamentals, including database design, schema creation, table management, administration, security, and working with MySQL, PostgreSQL, and IBM Db2.</li><li>Demonstrate proficiency in SQL, including the use of SELECT, INSERT, UPDATE, and DELETE statements, along with database functions, stored procedures, multi-table operations, JOINs, and transactions.</li><li>Illustrate your knowledge of NoSQL and big data technologies, and gain practical experience with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, and Spark Streaming.</li><li>Explain the use of ETL tools and data pipeline creation using Python, Linux shell scripts, Apache Airflow, and Apache Kafka.</li><li>Describe the structure and purpose of Data Lakes, Data Marts, and Enterprise Data Warehouses (EDW), and design them using Star and Snowflake schemas.</li><li>Design and populate Data Warehouses, then analyze the data using Business Intelligence (BI) tools such as Cognos Analytics.</li></ul><div><br></div><div>No prior experience in data engineering or programming is required to join this program.</div>

IBM Data Engineering Professional Certificate

Begin your journey towards a career in data engineering. Master Python, SQL, Spark, Hadoop, and more with hands-on job-ready skills!

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  <div>In this guided project, you'll analyze and evaluate the emissions profile of power plants using coal, natural gas, and oil. This project will show you how to calculate and compare greenhouse gas emissions, a critical aspect of environmental science and policy-making. Using an IBM Environmental Intelligence API, you will enhance your data-driven decision-making skills and equip yourself with the knowledge necessary to advocate for and implement sustainable energy practices. In just 30 minutes, you'll be on your way to influencing choices and strategies in the energy sector, contributing to a more sustainable future.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /></div><h1><strong>What you'll learn</strong></h1><div>When you complete this project, you will understand how to:<br />- Articulate the environmental impacts associated with different fuel choices in power generation.<br />- Use an IBM Environmental Intelligence API to effectively access and analyze emissions data.<br />- Calculate and compare greenhouse gas outputs from various fuels.<br />- Develop strategies for sustainable energy practices based on data-driven insights.<br /><br /><br /><strong>Comparison of Emissions Between Power Plant Types: </strong><br /><br />
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<br /><br /><br /></div><h1><strong>What you'll need</strong></h1><div>To successfully complete this guided project, you will need:<br />- Basic knowledge of data analysis concepts.<br />- Familiarity with using APIs, though detailed instructions will be provided.<br />- Access to a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari for optimal performance on the platform.<br /><br />This hands-on project will transform your understanding of energy emissions and empower you with practical skills to make informed decisions that can drive sustainability in energy practices.</div>
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Analyze Environmental Impacts of Power Plant Fuel Choice

Assess power plant emissions from coal, natural gas, and oil to calculate and compare greenhouse gas outputs and environmental impact. In this project, you'll use IBM Environmental Intelligence APIs to gain hands-on experience in data-driven decision-making, equipping you with skills to enhance sustainable energy practices.

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  <div>You’ll learn how to communicate between Java web services when one service is producing a continuous stream of asynchronous messages or events to be consumed by other services, rather than just sending and receiving individual requests for data. You will also learn how to use a messaging server and client to manage the production and consumption of the messages by the services.<br /><br /></div><div>In this guide, you will first use the embedded Liberty Messaging Server to manage messages, then you will optionally switch to using an external messaging server to manage the messages, in this case, <a href="https://www.ibm.com/products/mq?utm_source=skills_network&amp;utm_content=in_content_link&amp;utm_id=GuidedProject-Producing+and+Consuming+Messages+in+Java+Microservices">IBM MQ</a>. You might use an external messaging server if the messaging mechanism is important to your application (e.g. during a bank transfer in a banking application). None of your messages are lost if there is a system overloading or outage.</div><div><br />You will learn how to write your Java application using the Jakarta Messaging API which provides a standard way to produce and consume messages in Java application, regardless of which messaging server your application will ultimately use.</div>
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Producing and Consuming Messages in Java Microservices

Learn how to produce and consume messages to communicate between Java microservices in a standard way by using the Jakarta Messaging API with the embedded Liberty Messaging Server or an external messaging server, IBM MQ.

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  <div>This Getting to Done: The Scrum Master’s Guide course equips you with the essential skills and knowledge needed to launch your career as a Scrum Master in an Agile environment. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>The Scrum Process flow and the various artifacts required at different phases of the process, as well as how to create Scrum Personas.     </li><li>The development of a Working Agreement to foster a collaborative environment among team members.  </li><li>The creation of a retrospective for a given scenario and the applications of coaching techniques to resolve issues within a dysfunctional team.  </li><li>The development of a Product Vision and goals while collaborating with the Product Owner to refine a Backlog.  </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>With the evolving trends, it has become crucial for project management in all development spheres to take on a new avatar. Organizations are increasingly seeking more efficient ways to manage their development projects. Agile and Scrum methodologies have, to some extent, addressed the shifting demands of the management environment.  </div><div>Whether you are new to Agile methodologies or seek to enhance your project management skills, this course will equip you with the knowledge and tools needed to excel as a Scrum Master.  </div><div>  </div><div>The course will provide a deeper insight into the essential aspects of being a Scrum Master. You will be able to compare Scrum with traditional project management methods and will gain a better understanding of why Scrum is a game-changer in today’s dynamic business landscape.  </div><div>  </div><div>Through real life scenarios, you will apply the skills and attributes required of a Scrum Master. Through hands-on practice and real-life scenarios, you’ll develop your abilities to navigate challenges, foster collaboration, and drive successful project outcomes.  </div><div>  </div><div>Although this course is meant for learners who are already project managers, it is not mandatory for them to have project management experience.  </div><div>  </div><div>With engaging video content, expert viewpoints, and interactive exercises, you’ll find yourself immersed in the world of Scrum. The final assessment is designed to enable the learner to develop an understanding of the criteria for certification as an Advanced Certified Scrum Master (A-CSM). Gain the confidence and experience you need to ace those tests and prove your expertise as a Scrum Master. <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Scrum and Scrum Master Basics </strong> </div><ul><li>Video: Scrum Process and Artifacts  </li><li>Video: The Role of the Scrum Master  </li><li>Reading: Detailed Review of Scrum Artifacts   </li><li>Video: The Job Description of a Scrum Master   </li><li>Video: Expert Viewpoints: What Does a Scrum Master Do?   </li><li>Video: Comparing Scrum Values to Project Management Methodologies   </li><li>Reading: Key Players in the Scrum Process  </li><li>Video: Keys to Success: Skills, Attributes, and Personality Traits Essential to Scrum Master Success   </li><li>Video: Scrum Master Defined  </li><li>Reading: Key leadership Traits essential to Scrum Master Success  </li><li>Video: Introduction to Personas   </li><li>Hands-on Lab: Defining the Scrum Process and Scrum Personas: Task 1  </li><li>Hands-on Lab: Defining the Scrum Process and Scrum Personas: Task 2  </li><li>Practice Quiz: Scrum and Scrum Master Basics  </li><li>Graded Quiz: Scrum and Scrum Master Basics  </li></ul><div> </div><div><strong>Module 2: Scrum Master as a Facilitator and Coach </strong> </div><ul><li>Video: Managing Stakeholders   </li><li>Video: Engaging Stakeholders   </li><li>Reading: Analyzing Situational Facilitation Techniques to Maximize Collaboration and Various Coaching Techniques   </li><li>Video: Expert Viewpoints: Scrum Master as a Leader   </li><li>Video: Working Agreement   </li><li>Hands-on Lab: Develop a Working Agreement   </li><li>Reading: Acceptance Criteria and the Concept of “Done”   </li><li>Video: Managing the Daily Stand-up Meeting   </li><li>Video: Focusing the Team  </li><li>Video: Scrum Master as a Coach  </li><li>Video: Expert Viewpoints: The Scrum Master as a Facilitator     </li><li>Video: The Sprint Retrospective   </li><li>Hands-On Lab: Analyze a Scenario: Developing a Retrospective  </li><li>Practice Quiz: Scrum Master as a Facilitator and a Coach  </li><li>Graded Quiz: Scrum Master as a Facilitator and a Coach  </li></ul><div> </div><div><strong>Module 3: Leadership: Scrum Master as a Servant Leader   </strong> </div><ul><li>Video: Servant Leadership   </li><li>Video: Define Qualities of a Self-Organized Team and Techniques to Achieve Team Maturity   </li><li>Video: Expert Viewpoints: Scrum Master as a Coach  </li><li>Video: Development Models to Improve Team Effectiveness and Continuous Improvement   </li><li>Hands-On Lab: Getting a Dysfunctional Team Back on Track  </li><li>Video: Scrum Master and the Product Owner Collaboration  </li><li>Video: Expert Viewpoints: Servant Leadership  </li><li>Video: Develop a Product Vision and Determine Product Goals   </li><li>Hands-on Lab: Review a Scenario. Create a Product Vision   </li><li>Video: Collaborating with the Product Owner to refine the backlog   </li><li>Video: Refining the Backlog  </li><li>Practice Quiz: Leadership: Scrum Master as a Servant Leader  </li><li>Graded Quiz: Leadership: Scrum Master as a Servant Leader  </li></ul><div> </div><div><strong>Module 4: Navigating Complexity and Change </strong> </div><ul><li>Video: Identifying Organizational Impediments   </li><li>Video: Dealing with Difficult Stakeholders   </li><li>Video: Expert Viewpoints: Product Owner Collaboration  </li><li>Video: Using the Force Field Analysis Tool   </li><li>Hands-on Lab: Read a Scenario. Develop a Force Field Analysis  </li><li>Video: Conflict and the Team   </li><li>Video: Expert Viewpoints: Managing Complexity and Change   </li><li>Video: Recognizing Dependencies   </li><li>Reading: Evaluating and Responding to Team Interactions   </li><li>Video: Navigating Change   </li><li>Hands-On Lab: Review a Scenario.  Apply Change Models to Address the Change Factors  </li><li>Practice Quiz: Navigating Complexity and Change  </li><li>Graded Quiz: Navigating Complexity and Change  </li></ul><div> </div><div><strong>Module 5: Course Summary and Final Assessment </strong> </div><ul><li>Video: The Path to Certification PMI-ACP, PMI-DASM, and CSM  </li><li>Practice Quiz: Course  </li><li>Graded Quiz: Final Graded Exam  </li><li>Final Project: The Big Picture: Putting it All Together</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>To get the most out of this course, you should possess some basic project management skills and experience.  </div>
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Getting to Done: The Scrum Master’s Guide

Develop job-ready Scrum Master skills, gaining valuable hands-on experience and a recognized credential. No prior experience is required. 

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  <div>By completing this course, you’ll not only solidify your foundational Scrum Master skills but also advance your ability to manage real-world Agile projects with confidence. You will gain hands-on experience in creating essential project documents, facilitating Agile processes, and leading Scrum teams to successful project outcomes. This course is designed to elevate your Scrum expertise, helping you deliver tangible results through effective team collaboration and project management tools.  </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Apply Scrum skills, create project charters, perform Stacey analysis, and identify and prioritize stakeholders with optimal engagement methods. </li><li>Create a working agreement, User Stories, product backlog, Sprint backlog, analyze risks, and develop an Agile risk register. </li><li>Perform relative estimation for story points, calculate team velocity, develop a Kanban board, and generate a burndown chart. </li><li>Evaluate daily Scrum meeting best practices, prepare for a demo, conduct a retrospective, and discuss Scrum certification opportunities.</li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>This course enables learners to apply the knowledge and skills of a Scrum Master that they have acquired throughout their participation in the IBM IT Scrum Master Professional Certificate (PC) or the SkillUp Scrum Master Specialization. </div><div> </div><div>In this Capstone course, you will gain practical knowledge, including understanding the initiation of project launches and the formation of effective Scrum teams. Additionally, you will acquire skills in developing working agreements, User Stories, curating the Product Backlog, conducting relative estimation, creating the Sprint backlog, generating a burndown chart, and facilitating retrospectives. </div><div> </div><div>Throughout this course, we will present numerous real-world project scenarios and provide templates and instructional guidance to help you participate in hands-on activities to build a portfolio of artifacts. This portfolio will serve as proof of your expertise and readiness to take on more advanced Scrum responsibilities.<br /><br /><br /></div><h1>Course Syllabus</h1><div>Module 1: Program and Course Introduction</div><ul><li>Module Introduction and Learning Objectives </li><li>Module 1 Overview and Activity Requirements </li><li>Review the Contents and Purpose of a Project Charter </li><li>Review a Product Roadmap </li><li>Case Study: Project Charter and Product Roadmap </li><li>Stacey Diagramming Method </li><li>Lab:  Stacey Analysis </li><li>Stakeholder Identification and Engagement Methods </li><li>Project Scenario Team Overview </li><li>Review a Working Agreement  </li><li>Lab:  Develop a Working Agreement for Your Scrum Team </li><li>Practice Quiz: Program and Course Introduction </li><li>Module 1 Glossary </li><li>Module 1 Graded Quiz </li><li>Summary</li></ul><div>Module 2: Product Backlog and User Story Development</div><ul><li>Module 2 Introduction and Learning Objectives </li><li>Module 2 Overview and Activity Requirements  </li><li>User Story and Product Backlog Review </li><li>Product Vision </li><li>Lab:  Create User Stories, Product Backlog, and Product Vision </li><li>Risk Register and Relative Estimation </li><li>Lab:  Create a Risk Register using Using Force Field Analysis, Perform Relative Estimation, and Update Product Backlog </li><li>Velocity </li><li>Lab:  Calculate Velocity  </li><li>Practice Quiz: Product Backlog and User Story Development </li><li>Module 2 Glossary </li><li>Module 2 Graded Quiz </li><li>Summary </li></ul><div>Module 3: Sprint 1 Planning and Execution</div><ul><li>Module 3 Introduction and Learning Objectives </li><li>Module 3 Overview and Activity Requirement </li><li>Sprint Backlog and Kanban Boards  </li><li>Lab:  Create Sprint Backlog, Burndown Chart, and Kanban Board </li><li>Project Scenario Update:  What Happened in Sprint 1  </li><li>Sprint 1 Demo Review  Demo Purpose and Planning </li><li>Hands-On-Lab: Daily Standup and Sprint Demo </li><li>Practice Quiz: Sprint 1 Planning and Execution </li><li>Module 3 Glossary </li><li>Module 3 Graded Quiz </li><li>Summary </li></ul><div>Module 4: Sprint Close Out and Analysis</div><ul><li>Module 4 Introduction and Learning Objectives </li><li>Module 4 Overview and Activity Requirements  </li><li>Sprint 1 Retrospective Overview </li><li>Lab:  Read the demo report </li><li>Closing Out a Sprint </li><li>Planning for the Next Sprint </li><li>Lab:  Review Sprint 1 and Develop a Game Plan for Sprints 2 and 3  </li><li>Practice Quiz: Module 4: Sprint Close Out and Analysis </li><li>Module 4 Glossary </li><li>Module 4 Graded Quiz </li><li>Summary </li></ul><div>Module 5: Sprint 3- MVP Launch</div><ul><li>Module 5 Introduction and Learning Objectives </li><li>Module 5 Overview and Activity Requirements </li><li>Sprints 1 and 2 Analysis </li><li>Lab:  Develop a Sprint 3 Game Plan </li><li>Sprint 3 Complete </li><li>Planning for the Next Sprint </li><li>Lab:  Refine the Product Backlog </li><li>Practice Quiz: Module 5: Sprint 3- MVP Launch </li><li>Module 5 Glossary </li><li>Module 5 Graded Quiz </li><li>Summary </li></ul><div>Module 6: Final Submission and Evaluation </div><ul><li>Module 6 Introduction and Learning Objectives </li><li>Module 6 Overview and Project Submission Requirements  </li><li>Lab:  Final Project </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Learners who have completed all prior courses in the IBM IT Scrum Master PC or SkillUp Scrum Master Specialization.</div><div>Upon finishing this Capstone course, you will be fully equipped to lead Scrum projects, manage Agile workflows, and contribute to successful project outcomes with a portfolio that showcases your readiness for advanced Scrum responsibilities. </div>
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Scrum Master: Capstone Project

Prepare for the CAPM exam and boost your project management career with comprehensive insights, study resources, and a mock exam. 

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  <div>This Practice Exam for Certified Scrum Master (CSM) Certification course teaches you the skills you need for a career in Scrum Master role.  </div><div> </div><div><strong>You will learn:</strong></div><ul><li>Job-ready skills in 2 weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>Certified Scrum Master (CSM) testing and eligibility requirements </li><li>Expectations from the CSM test </li><li>How to prepare for the CSM test </li><li>How to complete a CSM Practice Test </li></ul><div><strong>Course Overview</strong> </div><div><br /></div><div>In this course, you will get an overview of the Scrum Alliance Certified Scrum Master (CSM) certification. You’ll also go through the process required to qualify for the exam, specific education requirements, and exam specifics.  </div><div> </div><div>In this course, you are provided with the 50 questions for the mock exam to prepare you for the CSM certification test. </div><div> </div><div>Becoming a certified Scrum master is just the beginning of your agile path and the first step toward the continuous journey. Once you pass the CSM exam, you can start a successful career as a Scrum master.   </div><div>  </div><div>If you’re keen to take your career as a project manager, product owner, or Scrum Master to the next level and boost your resume with in-demand skills that catch an employer’s eye, ENROLL today and have job-ready skills you can use immediately within five weeks!<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong>  </div><ul><li>Video: Course Introduction  </li><li>Reading: General Information  </li><li>Reading: Learning Objectives and Syllabus  </li><li>Reading: Grading Scheme  </li><li>Reading: How to make the most out of this course  </li></ul><div> <br /><strong>Module 1: Program and Course Introduction</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Reading: CSM Eligibility </li><li>Video: CSM Overview and Domains  </li><li>Video: Exam Testing Strategies  </li><li>Reading: Additional Study Resources and Tips  </li><li>Reading: Check Your Readiness </li><li>Practice Quiz: Complete a 20-Question Practice Test </li></ul><div> </div><div><strong>Module 2 Introduction and Learning Objectives</strong> </div><ul><li>Reading: Exam Instructions  </li><li>Graded Quiz: Mock Test </li></ul><div><strong>Module 3: Course Wrap Up</strong>  </div><ul><li>Reading: Congratulations and Next Steps   </li><li>Reading: Thanks from the Course Team   </li><li>Reading: Copyrights and Trademarks  </li><li>Course Rating &amp; Feedback  </li><li>Feedback  </li><li>Completion Certificate  </li><li>How to claim your certificate?  </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>To pass the CSM exam, you should be familiar with the content that the CSM exam tests on or complete prior courses such as: </div><ul><li>IBM IT Scrum Master Professional CertificateIntroduction to Scrum Master Profession </li><li>Working as a Scrum Master </li></ul><div>You are advised to download and refer to the <a href="https://scrumguides.org/scrum-guide.html">Scrum Guide</a>, which helps you to take the CSM exam. </div><div> </div><div>It is recommended that for the CSM® test, you must first take an in-person 2-day (16 hours) or live online (14–16 hours) Certified ScrumMaster® (CSM) course with one of our Certified Scrum Trainers (CSTs®) from the Scrum Alliance website.  </div><div> </div><div>To transition to a career as a project manager, product owner, or Scrum Master role, we recommend that you enroll for the Certified Scrum Master (CSM) Certification. Within a few weeks, you’ll have job-ready skills and practical experience on your resume that will catch an employer’s eye! </div>
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Practice Exam: Certified Scrum Master (CSM) Certification

Get advanced job-ready skills in Scrum Master in 2 weeks with valuable practical experience and credential. Prior experience as a project manager is required. 

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  <div>In the age of information overload, having the ability to retrieve the most relevant and context-aware information from vast amounts of data is invaluable. Retrieval-Augmented Generation (RAG) represents a cutting-edge technique that combines the strengths of retrieval systems and Large Language Models (LLMs) to generate high-quality, relevant responses from your own custom documents. This project is not only fascinating due to its innovative approach but also practical, as it equips you with the skills to build intelligent, responsive systems that can be applied in various domains such as customer service, content creation, and more. By completing this project, you'll gain deep insights into how state-of-the-art AI models such as BART and DPR, combined with FAISS indexing, can revolutionize document retrieval and content generation.<br /><br /></div><h1>A look at the project ahead</h1><div><br /></div><div>Throughout this project, you will embark on a journey to master the development of a Retrieval-Augmented Generation (RAG) model, leveraging the power of Hugging Face, BART, DPR, and FAISS. Here's what you'll be able to achieve by the end of this guided project:<br /><br /></div><ul><li>Understand and implement the Retrieval-Augmented Generation (RAG) framework, integrating Hugging Face’s BART and DPR models for robust document retrieval and response generation.</li><li>Gain hands-on experience in using FAISS for efficient indexing and retrieval, enabling scalable and fast semantic search within your custom document collection.</li></ul><div><br /></div><h1>What you'll need</h1><div><br /></div><div>Before you begin this guided project, it's recommended that you have a basic understanding of Python programming and some familiarity with deep learning concepts. Experience with natural language processing (NLP) would be advantageous, but is not mandatory. You'll be working in an environment powered by IBM Skills Network Labs, which comes pre-installed with essential tools such as Python, Hugging Face libraries, and FAISS, so you can focus on learning without worrying about setting up your environment. This project is best accessed using the latest versions of Chrome, Edge, Firefox, Internet Explorer, or Safari to ensure optimal performance.</div>
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Enhance LLMs using RAG and Hugging Face

Learn Retrieval-Augmented Generation (RAG) by building context-aware Large Language Models (LLMs). This guided project leverages Hugging Face and Facebook AI Similarity Search (FAISS) for efficient semantic search and natural language generation, enabling personalized, context-rich responses from your own documents. Ideal for advancing your understanding of AI techniques and enhancing the capabilities of LLMs with relevant contextual information.

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  <div><strong>Objectives</strong></div><ul><li>Distinguish between chatbots, ChatGPT, intelligent virtual agents</li><li>Discover some of the unique and powerful ways that they are currently being used</li><li>Explain the robust capabilities of the current watsonx Assistant that set it apart</li><li>Summarize the basics of planning and building an intelligent virtual agent</li></ul>
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Introduction to IVAs with IBM watsonx Assistant

This course introduces IBM watsonx Assistant and focuses on actions that are built with steps. An understandable sense of confusion exists about terms such as chatbot, ChatGPT, and intelligent virtual agents. In this course, you learn about the underlying artificial intelligence, machine learning, and natural language understanding for the nontechnical Subject Matter Expert (SME).

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  <div>Less than a century old, artificial intelligence (AI) has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but to learn without human intervention. In this course, you’ll survey AI’s history and explore ways that it can shed light on unstructured data.<br /><br /><strong>What you’ll learn</strong><br />After completing this course, you should be able to:</div><ul><li>Define artificial intelligence</li><li>Describe three levels of artificial intelligence</li><li>Describe the history of AI from the past to the possible future</li><li>Define and describe machine learning</li><li>Differentiate between structured and unstructured data</li><li>Describe how machine learning structures data</li><li>Describe how machine learning structures unstructured data</li><li>Describe how machine learning uses probabilistic calculation to solve problems</li><li>Describe three methods by which machine learning analyzes data</li><li>Describe an ideal relationship between humans and machine learning</li></ul>
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Introduction to Artificial Intelligence

In this course, you’ll become familiar with fundamental artificial intelligence (AI) concepts, such as types of AI, methods that AI uses to find connections and make predictions, and ways that humans interact with AI systems.

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  <div><strong>Objectives</strong></div><div>After completing this course, you will understand the following:</div><ul><li>Major causes of friction in customer service</li><li>Business impact this friction has on a company’s bottom line</li><li>Evolving customer expectations in the age of generative AI</li><li>The impact AI assistance and first-effort resolution can have on customer satisfaction, costs, and revenue</li><li>How generative AI bolsters transformation and boosts customer service performance</li><li>The top five customer care use cases for generative AI that your company should consider investing in</li></ul>
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Introduction: Customer Care in the Age of Generative AI

This course provides an introduction to Customer Care in the Age of Generative AI and is suitable for anyone interested in learning how the latest technological advances can be used to create exceptional customer experiences. Whether interacting with a brand via phone, website, messaging, or mobile app, customers now expect personalized service and first-contact resolution. This presents both challenges and exciting opportunities to design new exceptional customer experiences.

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  <div>Provide Z DevOps knowledge on:</div><ul><li>Packaging &amp; Deployment</li><li>Gitlab CI</li><li>UrbanCode Deploy (UCD)</li><li>Scripted Deployments</li></ul>
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DevOps IBM zSystems CI/CD Enablement - Deployment Specialist

Learn how to develop and maintain central deployment processes, understand UCD Concepts, and learn about  Mainframe Subsystem Interfaces.

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  <div>In this course, you’ll see how machines can learn and make amazing, evidence-based predictions. Explore the logic behind computers’ ability to learn, then investigate new ways that AI systems inspired by neurons in the human brain can solve difficult problems.<br /><br /><strong>What you’ll learn</strong><br />After completing this course, you should be able to:<br /> </div><ul><li>Distinguish between artificial intelligence, machine learning, and deep learning</li><li>Describe supervised, unsupervised, and reinforcement learning</li><li>Describe decision trees, linear regression, and logistic regression</li><li>List and explain advantages of classical machine learning</li><li>Describe how neural networks are inspired by the human brain</li><li>Trace the flow of information through a perceptron’s nodes</li><li>Describe machine learning’s trial-and-error learning process</li><li>Define and describe deep learning and its ecosystem</li><li>Identify real-world applications for the deep learning ecosystem</li><li>Identify future trends for machine learning</li></ul>
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Machine Learning and Deep Learning

In this course, you’ll see how machines can learn and make amazing, evidence-based predictions. Explore the logic behind computers’ ability to learn, then investigate new ways that AI systems inspired by neurons in the human brain can solve difficult problems.

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  <div>This course introduces you to watsonx.data, IBM’s open data lakehouse platform. Watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture and optimized for governed data and AI workloads across hybrid-cloud environments. It brings together commodity cloud object storage, open data and table formats, and open-source query engines to provide broad workload coverage and optimal price-performance.</div><div>Course details<br /><br /></div><div>Objectives</div><ul><li>Discuss data’s place in the new world of generative AI</li><li>Describe the limitations of data warehouses and data lakes and the benefits of an open data lakehouse architecture</li><li>Characterize the benefits, value, and use cases for watsonx.data</li><li>Explain the common components of lakehouses and of watsonx.data</li><li>State the primary features and capabilities available in the watsonx.data user interface</li><li>Summarize watsonx.data’s integration within an existing data ecosystem</li></ul><div><br /></div>
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IBM watsonx.data Technical Essentials

This course introduces you to watsonx.data, IBM’s open data lakehouse platform. Watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture and optimized for governed data and AI workloads across hybrid-cloud environments. It brings together commodity cloud object storage, open data and table formats, and open-source query engines to provide broad workload coverage and optimal price-performance.

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  <div>Audience</div><div><br />This course is intended for data scientists, AI specialists, watsonx specialists, solution architects, or anyone interested in gaining basic knowledge of foundation models and generative AI with IBM watsonx.</div><div><br />Prerequisites - None</div><div><br />Objectives</div><ul><li>Describe the role of the watsonx platform in accelerating the impact of AI.</li><li>Explain the components of watsonx.</li><li>Differentiate between large language models, foundation models, and generative AI.</li><li>Discuss the benefits of an open lakehouse architecture.</li><li>Describe the need for governance of AI activities and artifacts.</li><li>Explain prompt engineering.</li></ul>
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IBM watsonx.ai Technical Essentials

In this course, you learn how watsonx might help you to put AI to work in your business. You follow the story of Erik, the AI specialist, who works for a large health products company, and learn the benefits and capabilities of watsonx. You explore the bases of watsonx, such as foundation models and data lakehouses, supported by querying, governance, and open data formats to access and share data. The course concludes with a hands-on exercise creating prompts in the Prompt Lab.

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  <div>Learning activities include:  hands-on experience, concepts, methods, and tools related to the artificial intelligence domain. Must demonstrate knowledge and understanding of the foundations of Artificial Intelligence for business, including the following topics: AI Evolution, AI Industry Adoption Trends, Natural Language Processing and Virtual Agents.</div>
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Getting Started with Enterprise-grade AI

This course covers the foundations of Artificial Intelligence for business, including the following topics: AI Evolution, AI Industry Adoption Trends, Natural Language Processing and Virtual Agents.

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  <div>In this guided project, you’ll explore how to monitor water and moisture levels with the help of geospatial APIs. These APIs provide access to rich satellite imagery and temporal data, along with a powerful analytics engine for running queries and uncovering relationships between environmental factors.<br /><br /></div><div>Using Python, you will analyze water bodies and vegetation moisture with two key indices—Normalized Difference Moisture Index (NDMI) and Modified Normalized Difference Water Index (mNDWI). These indices help you to:</div><ul><li><strong>Monitor drought stress</strong> in crops and adjust irrigation to save water.</li><li><strong>Track seasonal water level changes</strong> in rivers and reservoirs to prepare for floods or shortages.</li><li><strong>Predict dry spells</strong> before they impact farming or natural ecosystems.</li><li><strong>Plan sustainable urban growth</strong> by monitoring the health of wetlands and water bodies.</li></ul><div>This project focuses on analyzing the farmland and water bodies near the Lake of Sainte-Croix in France to track changes between March and June 2023. You’ll see how seasonal rainfall affects vegetation and water levels, providing valuable insights for agriculture and environmental management.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /><br /></div><h1><strong>What you'll learn</strong></h1><div>When you complete this project, you will have gained hands-on experience in:</div><ul><li><strong>Visualizing water and moisture trends</strong> using Python and satellite data.</li><li><strong>Making data-driven decisions</strong> for irrigation, water management, and conservation efforts.</li><li><strong>Applying user-defined functions (UDFs)</strong> to simplify complex geospatial queries.</li></ul><div><br />This project highlights the importance of geospatial insights for sustainable agriculture and environmental resilience. Register to learn how technology and data can empower smarter planning and sustainable land management.<br /><br /></div><div><br /></div><h1><strong>What you'll need</strong></h1><div>To successfully complete this guided project, you will need:</div><ul><li>Basic knowledge of Python programming.</li><li>Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools such as Docker.</li><li>A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.</li></ul>
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Monitor Water Levels and Soil Moisture with Geospatial APIs

Visualize water levels, track vegetation health, and make better decisions for farming, urban planning, and environmental conservation using geospatial APIs. Learn to detect changes in water bodies and soil moisture, using Python to analyze satellite imagery, uncover patterns, and derive actionable insights from geospatial data.

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  <div>In this guided project, you will explore environmental intelligence, using geospatial APIs to analyze forest loss caused by wildfires. By following a step-by-step use case, you'll learn how to take advantage of advanced geospatial and temporal data to understand and visualize the impacts of wildfires on forests. These APIs give you the ability to engage with a large repository of geospatial data, coupled with a powerful analytics engine to execute complex queries and uncover relationships between environmental factors. <br /><br />When you complete this project, you'll understand how to use Python to visualize changes in the Above Ground Biomass (AGB) in wildfire-affected areas and assess the extent of forest loss. You'll gain valuable skills in environmental impact analysis, disaster recovery, and the intersection of technology and environmental science. This hands-on experience will give you insight into sustainable forestry management and ecosystem protection techniques, which are crucial for mitigating the impacts of climate change. <br /><br />This project features <strong>IBM Environmental Intelligence APIs</strong>, empowering individuals and organizations to address pressing environmental challenges with data-driven insights. By understanding and analyzing forest loss due to wildfires, you contribute to sustainable land stewardship and environmental resilience. Build the skills you need to be part of the movement towards responsible land management and a more sustainable future. <br /><br /><strong>Note</strong>: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /></div><h1><strong>What you'll learn</strong></h1><div>After completing this project, you will:</div><ul><li>Understand the fundamentals of geospatial APIs and their role in environmental intelligence.</li><li>Learn how to use Python to interact with geospatial APIs and visualize data.</li><li>Develop skills in identifying and analyzing areas affected by forest loss from wildfires.</li><li>Gain practical experience in environmental impact assessment and disaster recovery using data-driven insights.</li></ul><div><br /></div><h1><strong>What you'll need</strong></h1><div>To successfully complete this guided project, you will need:</div><ul><li>Basic knowledge of Python programming.</li><li>Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools such as Docker.</li><li>A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.</li></ul><div><br />Get started on this journey to enhance your technical skills while contributing to the analysis of critical environmental challenges. By the end of this project, you will be well-equipped to address complex environmental issues using cutting-edge geospatial technology.</div>
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Analyze Forest Cover Loss by Wildfires with Geospatial APIs

Analyze data to assess wildfire impacts, visualize forest loss, and understand environmental changes. Use geospatial APIs to determine the change in Above Ground Biomass (AGB). Leverage a rich repository of geospatial and temporal data, along with an advanced analytics engine capable of executing complex queries to uncover relationships between different environmental factors. You will use Python to visualize wildfire-affected areas and leverage the power of technology to better understand the environmental impacts.

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  <div>Healthy plant life is crucial to our own survival. In this project, you will engage in a hands-on analysis of satellite sensor data for assessing plant health using the Normalized Difference Vegetation Index (NDVI). NDVI is a widely used remote sensing technique that leverages the visible and near-infrared bands of the electromagnetic spectrum to gauge vegetation vigor and health. <br /><br />You will have access to a dataset of satellite images from publicly available source, such as NASA's Earth Observing System Data and Information System (EOSDIS) through easy to use <strong>Geospatial API</strong> provided by the <strong>IBM Environmental Intelligence</strong>. Using a simple programming environment like Python with libraries such as NumPy and Matplotlib, this project guides you through the process of extracting relevant spectral bands, calculating NDVI values, and visualizing the spatial distribution of plant health across a specific agricultural area. You'll learn how technology can transform raw satellite data into actionable insights for agriculture.<br /><br /></div><div>The integration of this technology provides significant benefits, particularly for precision agriculture. By enabling farmers and agricultural professionals to monitor plant health efficiently over large areas, NDVI analysis helps identify potential issues such as water stress, pest infestations, or nutrient deficiencies early on. This proactive approach promotes timely interventions, resource optimization, and, potentially, improved crop yields. <br /><br />The project will highlight the scalability of satellite data analysis, showcasing how the same techniques can be applied to different regions or over time to track changes in vegetation health. You'll gain practical skills in data manipulation and visualization, empowering you to apply these methods in various fields that require environmental monitoring.<br /><br /></div><div>The intended audience for this project includes students and professionals in agriculture, environmental science, or data analysis, and anyone interested in leveraging remote sensing technologies. The project is designed to be completed within 30 minutes, providing a concise yet comprehensive introduction to NDVI analysis using satellite data.<br /><br /><strong>Note</strong>: To complete this project, you must register to receive <strong>free</strong> access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.<br /><br /><br /></div><h1><strong>What you'll learn</strong></h1><div>On completing this project, you will:</div><ul><li>Understand the fundamentals of geospatial APIs and their role in environmental intelligence.</li><li>Learn how to use Python to interact with geospatial APIs.</li></ul><div>For example, notice this<strong> sine wave</strong> pattern, which is likely due to the seasonal variation in vegetation activity like harvest and re-growth. NDVI values tend to oscillate over the course of a year due to changes in vegetation growth driven by factors like temperature, precipitation, and sunlight. This project will show you how to generate and analyze this type of result.<br />
  <img src="https://author.skills.network/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MzEyMTUsInB1ciI6ImJsb2JfaWQifX0=--78bbc1d3ca17dc7ee806e5e8c995b88df3e234eb/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJwbmciLCJsb2FkZXIiOnsibiI6LTF9LCJyZXNpemVfdG9fbGltaXQiOlsxMDI0LDc2OF19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--d5cef5cc4423e679c464df97b6ff7a8fa3dec7ab/image.png" />
image.png 273 KB</div><h1><strong>What you'll need</strong></h1><div>To successfully complete this guided project, you will need:</div><ul><li>Basic knowledge of Python programming.</li><li>Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools such as Docker.</li><li>A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.</li></ul>
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Analyze Satellite Data to Investigate Plant Health

Use satellite data to analyze plant health and gain insights for sustainable agriculture and plant-health monitoring. Learn techniques for using geospatial APIs and a popular and accurate index to plan for precision agriculture, resource optimization, and sustainable food production. This hands-on project equips you to harness the latest geospatial technology to ensure a healthy plant ecosystem.

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  <div>Have you ever wanted to build a Generative AI application but felt overwhelmed by the plethora of tools, models, and best practices? You’re not alone. With the rapid advancement of AI technologies, knowing where to start—and how to do it right—can be challenging. This Guided Project is designed to demystify the process, providing you with hands-on experience and expert guidance to build your first GenAI application effectively.</div><div><br /></div><h1><strong>A Look at the Project Ahead</strong></h1><div>In this immersive workshop, you’ll embark on an exciting journey into the world of Generative AI. Over the course of this project, you will:</div><ul><li><strong>Develop</strong> a Flask web application integrated with AI capabilities, laying a solid foundation for future AI projects.</li><li><strong>Leverage</strong> the ibm-watsonx-ai library to interact with advanced language models like Llama 3.2, Granite, and Mixtral, gaining practical experience with cutting-edge AI technology.</li><li><strong>Implement</strong> LangChain’s JsonOutputParser for structured AI outputs, ensuring your application can handle and utilize AI responses effectively.</li><li><strong>Apply</strong> prompt engineering techniques to generate actionable JSON responses, enhancing the reliability and usefulness of AI outputs.</li><li><strong>Compare</strong> and <strong>evaluate</strong> different language models to understand their strengths, weaknesses, and best use cases.</li><li><strong>Enhance</strong> your application with modular, reusable code, following best practices that make your development process more efficient and scalable.</li></ul><div><br /></div><div>By the end of this project, you’ll have a fully functional, intelligent AI-driven application and the confidence to tackle more complex AI development tasks.</div><div><br /></div><h1><strong>What You’ll Need</strong></h1><div>To get the most out of this project, you should have:</div><ul><li><strong>Basic programming knowledge</strong>, preferably in Python, as we’ll work extensively with Python code.</li><li>A modern web browser like <strong>Chrome, Edge, Firefox, or Safari</strong>. The IBM Skills Network Labs environment we’ll use comes pre-configured with the necessary tools and libraries, saving you time and setup hassle.</li></ul><div><br /></div><h1><strong>Why This Project Matters</strong></h1><div>Generative AI is revolutionizing industries by automating complex tasks and providing insights that were previously unattainable. However, building AI applications can seem daunting due to the complexity of AI models and the rapid pace of innovation. This project bridges that gap by offering a structured, hands-on approach to learning how to build AI applications the right way.</div><div><br /></div><div>You’ll not only learn how to integrate powerful AI models into a web application but also understand the underlying principles that make these models work. By mastering prompt engineering and model evaluation, you’ll be equipped to create applications that are both intelligent and efficient.</div><div><br /></div><h1><strong>Get Started</strong></h1><div>Don’t let the complexity of AI development hold you back. Join us in this Guided Project to demystify Generative AI and build your first application with confidence. With the skills you’ll acquire, you’ll turn the challenge of navigating the AI landscape into a strategic advantage, keeping your projects ahead of the curve in quality, speed, and cost-effectiveness.</div><div><br /></div><div>Embark on this hands-on journey today and transform your understanding of AI from theoretical to practical. Let’s build something amazing together!</div>
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Build Your First GenAI Application the Right Way

Learn to leverage the ibm-watsonx-ai library to interact with LLMs like Llama 3.2, Granite, and Mixtral. Implement JSON with LangChain for structured AI outputs, apply prompt engineering techniques, and compare different AI models. Enhance your application with modular, reusable code, and transform your development skills by creating intelligent, AI-driven applications. Whether you’re a beginner or looking to refine your skills, this Guided Project equips you with essential tools and expert tips to accelerate your project from concept to completion.

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  <div>In today’s fast-paced world, watching full-length videos can be time-consuming, especially when you’re only interested in specific sections. This guided project introduces you to the power of AI to transform video content into actionable insights. You'll build an <strong>AI-driven YouTube summarization and Q&amp;A system</strong> using <strong>LangChain</strong>, <strong>retrieval-augmented generation (RAG)</strong>, <strong>IBM Granite</strong> and <strong>Facebook AI Similarity Search (FAISS)</strong>, enabling you to create concise video summaries and interact with videos through intuitive question-answering.  Whether you’re a tech enthusiast, educator, or content creator, this project provides you with a hands-on experience to enhance content engagement and automate video interactions.<br /><br /></div><div>In just one hour, you’ll have a working system that can extract transcripts from YouTube videos, generate key takeaways, and enable users to ask specific questions about the video without watching the full video.<br />_____________________________________________________________________________________________________</div><div><br /></div><div><strong>What You'll Learn<br /></strong><br /></div><div>By completing this project, you will:</div><ul><li>Learn how to retrieve video transcripts using a pre-built API.</li><li>Create concise and informative summaries of YouTube videos using IBM Granite’s advanced natural language processing.</li><li>Develop an interactive Q&amp;A system that allows users to ask questions about the video content.</li><li>Explore LangChain and retrieval-augmented generation (RAG), showcasing the power of AI for video summarization and real-time interaction.</li><li>Integrate FAISS to efficiently index and retrieve relevant video segments for enhanced Q&amp;A capabilities.</li><li>Enhance your skills in automating video processing for improved efficiency and user engagement.</li></ul><div>_____________________________________________________________________________________________________</div><div><br /></div><div><strong>Why This Project is Important<br /></strong><br /></div><div>This project is essential for anyone working with video content who wants to enhance user experience and engagement. Whether you're analyzing educational content, creating video marketing materials, or looking for ways to make video-based learning more interactive, this solution saves time by automatically summarizing lengthy videos and allowing real-time questioning. With the help of IBM Granite’s advanced language comprehension, users get precise and relevant responses based on video content, while FAISS ensures quick retrieval of key sections.<br />_____________________________________________________________________________________________________</div><div><br /></div><div><strong>Benefits of This Project<br /></strong><br /></div><ul><li><strong>Save time</strong>: Automatically summarize videos and extract key information, eliminating the need to watch them fully.</li><li><strong>Boost engagement</strong>: Provide users with a Q&amp;A system that allows them to query specific parts of a video, making content more interactive and useful.</li><li><strong>Enhance learning</strong>: This system is ideal for educators and learners, offering quick takeaways and interactive learning opportunities.</li><li><strong>Automate video processing</strong>: Eliminate manual efforts in video content curation and increase productivity with AI-driven solutions.</li></ul><div>_____________________________________________________________________________________________________</div><div><br /><strong>Who Should Enroll<br /></strong><br /></div><div>This project is ideal for:<br /><br /></div><ul><li><strong>Data scientists</strong> who work on NLP and AI applications, and who want to explore video content processing.</li><li><strong>Tech enthusiasts and developers</strong> interested in learning how to apply LangChain, IBM Granite, and RAG for AI-driven solutions.</li><li><strong>Educators</strong> who wish to automate and enhance video learning materials.</li></ul><div>_____________________________________________________________________________________________________</div><div><br /></div><div><strong>What You'll Need<br /></strong><br /></div><div>Before starting this project, ensure you have the following:</div><ul><li>Basic knowledge of Python programming.</li><li>Familiarity with AI concepts and natural language processing (NLP) (beneficial but not required).</li><li>A reliable internet connection to access YouTube and IBM Skills Network Labs.</li><li>A web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari.</li></ul><div>_____________________________________________________________________________________________________</div><div><br /><strong>Why Enroll<br /></strong><br /></div><div>By the end of this project, you’ll have built a highly practical tool to automate video content summarization and enable interactive video Q&amp;A. Whether you're enhancing your content strategy or automating video analysis for educational or marketing purposes, this AI-driven solution will save time, increase engagement, and make your workflow more efficient, all powered by IBM Granite's advanced language processing.</div><div><br /></div>
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YouTube Summarizer & Q&A Guide: Granite, RAG, and LangChain

Build an AI YouTube summarizer and Q&A system in one hour with LangChain and Retrieval-Augmented Generation (RAG). Extract video transcripts instantly, create concise summaries, and engage with videos using interactive Q&A that enables users to jump to specific sections. Powered by IBM Granite for advanced understanding and FAISS for efficient segment retrieval, this AI tool helps tech enthusiasts, educators, and creators save time, boost engagement, and turn videos into actionable insights. Transform your content strategy and simplify video interaction with this quick, powerful project!

<div>Software engineering professionals, particularly those with DevOps expertise, are in high demand! A recent GitLab report predicts a 122% growth in the demand for DevOps skills over the next five years, making it one of the fastest-growing fields in the workforce. Additionally, according to GlassDoor, the average total pay for a DevOps Engineer in the US is $121,000. There’s never been a better time to embark on a journey to a career in DevOps.<br><br>This self-paced certificate program, designed for beginners, will provide you with the essential DevOps concepts and technical skills needed to enhance your software development capabilities. By the end of this program, you’ll be ready for an entry-level role in software engineering within a DevOps-focused organization.<br><br>You’ll develop expertise in various DevOps philosophies, fundamentals, and methodologies, including Agile Development, Scrum, Cloud Native Architecture, Behavior and Test-Driven Development (BDD and TDD), and Zero Downtime Deployments. The program also covers data science, cloud computing, programming languages, machine learning, continuous delivery, IBM Cloud, and agile software development for DevOps professionals.&nbsp;<br><br>After completing this professional certificate you’ll be able to:&nbsp;<br><br></div><ul><li>Program with Python and Linux shell scripts</li><li>Create projects on GitHub</li><li>Containerize and orchestrate applications using Docker, Kubernetes, and OpenShift</li><li>Build applications with Microservices</li><li>Utilize serverless technologies</li><li>Perform continuous integration and delivery (CI/CD)</li><li>Develop test cases</li><li>Secure your code</li><li>Monitor and troubleshoot cloud deployments</li></ul><div><br>The labs and projects in this program are designed to provide you with hands-on, job-ready skills, helping you launch a new career in this high-demand field. This software engineering professional certificate is suitable for those with little to no programming experience and those with or without a college degree.</div>

IBM DevOps & Software Engineering Professional Certificate

Jumpstart your DevOps and Software Engineering Career. Master DevOps, Agile, TDD/BDD, CI/CD, Cloud Native, and more with hands-on job-ready skills!

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  <div>Transform your career by mastering the Scrum Unlock new career opportunities in project management with our CAPM Exam Preparation Course. Gain the knowledge, skills, and confidence needed to pass the CAPM exam and earn a globally recognized credential. This course is designed to equip you with practical strategies and study resources to help you succeed. </div><div> </div><div><strong>You will learn:</strong> </div><div><br />Prepare for the CAPM certification by taking a simulated exam consisting of 150 questions <br /><br /></div><div>Learn effective strategies and techniques to optimize your exam results, such as time management, question prioritization, and leveraging strengths </div><div>Understand the CAPM exam format, duration, topics, and objectives, enabling you to focus on the topics that matter most </div><div>Receive guidance on locating course resources to refresh your learning on specific exam topics </div><div> </div><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>This course provides a comprehensive preparation for the CAPM exam, designed to equip you with the knowledge and confidence to achieve this globally recognized certification. Elevate your project management skills and open new doors in your career. </div><div>This course begins with an overview of CAPM exam requirements, including education, experience, and associated costs. The content covers the following areas: </div><div><strong>CAPM exam registration process</strong> <br />Understand the steps required to register for the CAPM certification exam, with insights into eligibility requirements. </div><div><strong>CAPM exam details</strong> <br />Learn about the structure of the CAPM exam, including the types of questions, exam format, and what to expect on test day. </div><div><strong>CAPM exam domains</strong> <br />The CAPM exam is organized into four domains. You will explore each domain’s scope and understand the weightage in the exam. </div><div><strong>Study resources and tips</strong> <br />Gain access to resources and tips on preparing for the CAPM exam. Our practical advice will help you create an effective study plan and utilize the provided practice tests to assess your readiness. </div><div><strong>150-question mock exam</strong> <br />Finally, this course includes a comprehensive 150-question mock exam. Simulate the real CAPM exam experience, with a three-hour time frame that mirrors the actual test.<br /><br /></div><h1>Course Syllabus</h1><div><br />Module 1: CAPM Certification Test Overview <br /><br /></div><div>Reading: Module Introduction and Learning Objectives </div><div>Reading: CAPM Certification Exam Eligibility </div><div>Video: Information on the CAPM Exam </div><div>Reading: Overview of CAPM Exam Domains </div><div>Reading: Breakdown of CAPM Exam Domains  </div><div>Video: Exam Taking Strategies </div><div>Reading: Additional Study Resources and Tips  </div><div>Reading: Summary: Module 1: CAPM Certification Test Overview </div><div>Reading: Check Your Readiness </div><div>Practice Quiz: Domain 1 Project Management Fundamentals and Core Concepts </div><div>Practice Quiz: Domain 2 Predictive Plan Based Methodologies </div><div>Practice Quiz: Domain 3 Agile Framework and Methodologies  </div><div>Practice Quiz: Domain 4 Business Analysis Frameworks </div><div><br />Module 2: CAPM Mock Test and Next Steps <br /><br /></div><div>Reading: Module Introduction and Learning Objectives </div><div>Reading: Exam Instructions </div><div>Graded Quiz: Graded Practice Exam for CAPM Certification </div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Learners should have completed prior courses in their associated program. However, an interest in practicing the CAPM exam is all that is required. </div><div> </div><div>Get ready to achieve your CAPM certification and take a significant step in your project management journey. We’re here to support you every step of the way—congratulations on committing to your professional growth, and we look forward to celebrating your success! </div>
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Project Management Practice Exam: CAPM Certification

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  <div><em>By completing this course, you'll gain the expertise to build a fully functional Gen AI application, setting you apart in job interviews and real-world projects.</em> </div><div> </div><div><strong><em>You Will learn:</em></strong></div><ul><li><em>Successfully manage projects end-to-end, from planning to closing, and produce key project deliverables.</em> </li><li><em>Develop the skills to manage scope, resources, and initiate projects effectively as a project manager.</em> </li><li><em>Master adaptive methodologies like Scrum and Sprints to improve project execution and flexibility.</em> </li><li><em>Create predictive methodology artifacts like work breakdown structures, network diagrams, and risk registers to streamline project workflows.</em> </li></ul><div><strong>Course Overview</strong> </div><div><em>As the demand for skilled project managers continues to rise across industries, this course provides practical training in managing projects using both predictive and adaptive approaches. You will benefit from learning how to plan, execute, and close projects, making it suitable for anyone looking to enter or advance in project management roles.</em> </div><div> </div><div><em>You'll work on tasks such as creating project deliverables like a work breakdown structure, network diagram, budget, quality, and communications management plans, as well as a risk register. These skills will be highly valuable in managing various types of projects and are critical for success in project management roles.</em> </div><div> </div><div><em>The course will cover how to apply predictive methods to plan and structure projects, while also developing adaptive artifacts such as user stories, sprint backlogs, and a burndown chart. You will learn to manage both traditional and agile projects, gaining comprehensive project management skills.</em> </div><div> </div><div><em>You will also produce a project status report, change form, and closeout report, simulating real-world scenarios. By completing these practical exercises, you’ll gain essential experience that can be added to your project management portfolio, showcasing your readiness for potential employers.</em> </div><div> </div><div><em>By the end of the course, you will have a portfolio full of project artifacts and deliverables that highlight both your predictive and adaptive project management skills, helping you stand out in the job market. If you’re ready to advance your career with real-world AI experience, enroll today!</em> <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Initiating the Project</strong> </div><ul><li>Course Introduction </li><li>Project Scenario Introduction </li><li>Demo: Project Charter Review </li><li>Demo: Stakeholder Register </li></ul><div><strong>Module 2: Predictive Project Planning</strong> </div><ul><li>Demo: Work Breakdown Structure Review </li><li>Demo: Network Diagram Review </li><li>Demo: Budget Planning Review </li><li>Demo: Communications Management Review </li><li>Demo: Quality Management Review </li><li>Demo: Risk Register Review </li></ul><div><strong>Module 3: Adaptive Project Planning and Execution</strong> </div><ul><li>Demo: User Story Review </li><li>Demo: Product Backlog Review </li><li>Demo: Sprint Backlog Review </li></ul><div><strong>Module 4: Predictive Monitoring and Controlling and Close Out</strong> </div><ul><li>Demo: Status Reporting Review  </li><li>Demo: Change Request Review </li><li>Demo: Project Closeout Report </li></ul><div><strong>Module 5: Final Submission and Evaluation</strong> </div><ul><li>Demo: Personal Portfolio Development </li><li>Resume and Job Search Tips</li></ul><div><br /></div>
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Project Management: Capstone

Gain hands-on experience managing projects end-to-end, creating key artifacts using both predictive and adaptive methodologies for your project management portfolio.

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  <div>This Information Technology (IT) Fundamentals for Everyone course teaches you the skills you need for your IT career.  </div><div> </div><div><strong>You will learn:</strong></div><ul><li>Job-ready skills in a few weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>Concepts of operating systems, computer components, programming concepts, databases, and the difference between commercial and open software  </li><li>The importance of computer networks, including wired and wireless connections; explore network resources and storage types in MS Windows  </li><li>How to protect against security threats, address public browsing security concerns, and list password management best practices  </li><li>The benefits of cloud computing, describe the cloud infrastructure layer and virtual machines, and summarize features of ticketing systems </li></ul><div>  </div><div><strong>Course Overview</strong> </div><div> </div><div>In this course, you’ll explore the fundamental concepts and skills to navigate various aspects of IT and the digital world confidently. You will also explore the vast IT field and related topics to enhance your IT knowledge. You will learn about hardware, operating systems technology, software, programming, databases, networking, storage, cybersecurity, cloud computing, and support and operations. </div><div> </div><div>This course is designed to summarize the IT Fundamentals and Cloud specialization courses. This course is best suited for professionals seeking non-IT roles, such as project managers. It provides essential insights into the IT field that help you collaborate with IT teams and make informed decisions within your role.  </div><div> </div><div>If you are looking for a non-technical role in the IT industry, this course provides you with a strong foundation to thrive in the ever-evolving IT landscape. </div><div> </div><div>Each module in this course is equipped with materials such as hands-on labs and interactive activities to practice your skills, glossaries to help you learn new vocabulary, and practice and graded quizzes to assess what you’ve learned. </div><div> </div><div>If you want to boost your resume and extend your IT or non-IT professional career, ENROLL today and build job-ready skills in just 6 weeks.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0 : Welcome<br /></strong><br /></div><div>·         Video: Course Introduction</div><div>·         Reading: General Information</div><div>·         Reading: Learning Objectives and Syllabus</div><div>·         Reading: Grading Scheme</div><div>·         Reading: How to Make the Most of this Course<br /><br /></div><div><strong>Module 1: Introduction to Hardware and Operating Systems<br /></strong><br /></div><div>·         Reading: Module 1 Introduction and Learning Objectives</div><div>·         Video: Introduction to Computing Fundamentals </div><div>·         Video: Common Computing Devices and Platforms</div><div>·         Video: Identifying Hardware Components and Peripherals </div><div>·         Reading: Input, Output, and Display Devices</div><div>·         Video: Internal computer component</div><div>·         Reading: Additional Internal Computer Components</div><div>·         Video: Identifying ports and connectors</div><div>·         Activity:  Identifying Devices and Connectors</div><div>·         Video: An introduction to operating system</div><div>·         Video: Getting started with Microsoft window</div><div>·         Video: Features and Functions of an Operating System</div><div>·         Video: Managing File and Folders</div><div>·         Video: Using Your Windows Lab Workspace</div><div>·         Lab: Using File Explorer to Manage Files and Folders</div><div>·         Module Summary: Module 1: Introduction to Hardware and Operating Systems</div><div>·         Practice Quiz: Module 1: Introduction to Hardware and Operating Systems</div><div>·         Reading: Glossary 1: Introduction to Hardware and Operating Systems</div><div>·         Graded Quiz 1: Introduction to Hardware and Operating Systems<br /><br /></div><div><strong>Module 2: Introduction to Software, Programming, and Databases<br /></strong><br /></div><div>·         Reading: Module 2 Introduction and Learning Objectives</div><div>·         Video: Commercial and Open Source Software</div><div>·         Reading: Software Licenses</div><div>·         Video: Software Versions`</div><div>·         Reading: File Formats and Productivity and Collaboration Software</div><div>·         Video: Software Installation Management</div><div>·         Video: Common Web Browser</div><div>·         Video: Browser Installs and Updates</div><div>·         Hands-on Lab: Install, Update &amp; Remove Applications</div><div>·         Video: Interpreted and Compiled Programming Languages</div><div>·         Reading: Scripting Languages</div><div>·         Video: Introduction to Programming Concepts</div><div>·         Video: Branching and Looping Programming Logic</div><div>·         Activity: Working with Programming Logic and Organizational Methods</div><div>·         Video: Types of Data, Sources, and Uses</div><div>·         Video: Overview of Data Repositories</div><div>·         Video: Introduction to SQL and Relational Databases</div><div>·         Video: Database Management</div><div>·         Reading: Database Roles and Permissions and Backing Up Databases</div><div>·         Hands-on Lab: Basic Database Operations</div><div>·         Module Summary: Module 2: Introduction to Software, Programming, and Databases</div><div>·         Practice Quiz: Module 2: Introduction to Software, Programming, and Databases</div><div>·         Reading: Glossary 2: Introduction to Software, Programming, and Databases</div><div>·         Graded Quiz 2: Introduction to Software, Programming, and Databases<br /><br /></div><div><strong>Module 3: Introduction to Networking and Storage<br /></strong><br /></div><div>·         Reading: Module 3 Introduction and Learning Objectives</div><div>·         Video: Computer Networks: Types and Topologies</div><div>·         Reading: Computer Networks: Cables</div><div>·         Video: Advantages and Disadvantages of Network Types</div><div>·         Reading: Computer Networks: Models, Standards, Protocols and Ports</div><div>·         Video: Networking Hardware Devices</div><div>·         Video: Wired and Wireless Network Connections</div><div>·         Video: (Optional) - Wired and Wireless SOHO Networks</div><div>·         Video: Network Settings in Windows</div><div>·         Hands-on Lab: Exploring Windows Network Settings</div><div>·         Video: Types of Local Storage Devices</div><div>·         Video: Types of Hosted Storage and Sharing</div><div>·         Video: Network Storage Types</div><div>·         Video: Troubleshooting Storage Issues</div><div>·         Lab: Disk Status and Repair Tools - Rhyme</div><div>·         Module Summary: Module 3: Introduction to Networking and Storage</div><div>·         Practice Quiz: Module 3: Introduction to Networking and Storage</div><div>·         Reading: Glossary 3: Introduction to Networking and Storage</div><div>·         Graded Quiz 3: Introduction to Networking and Storage<br /><br /></div><div><strong>Module 4: Introduction to Cybersecurity Essentials<br /></strong><br /></div><div>·         Reading: Module 4 Introduction and Learning Objectives</div><div>·         Video: Confidentiality, Integrity, and Availability</div><div>·         Reading: Intellectual Property and Types of Confidential Information</div><div>·         Video: Threats and Breaches</div><div>·         Video: Phishing, Social Engineering, and Other Attacks</div><div>·         Video: Password Management Techniques </div><div>·         Video: Security Threats: Access Control, Authorization, and Authentication</div><div>·         Video: Authentication and SSO</div><div>·         Reading: Firewalls</div><div>·         Activity: Identifying Phishing Attempts</div><div>·         Video: Safe Browsing Practices: Application Ecosystem Security</div><div>·         Video: Safe Browsing Practices: Public Browsing Risks</div><div>·         Video: Safe Browsing Practices: Plug-ins, Extensions, and Toolbars</div><div>·         Activity: Managing Browser Plug-ins and Extensions</div><div>·         Video: Security Threats: Safe Browsing Techniques</div><div>·         Hands-on Lab: Managing Browser Security and Privacy Settings</div><div>·         Video: Virtual Private Networks</div><div>·         Module Summary: Module 4: Introduction to Cybersecurity Essentials</div><div>·         Practice Quiz: Module 4: Introduction to Cybersecurity Essentials</div><div>·         Lab: Glossary 4: Introduction to Cybersecurity Essentials</div><div>·         Graded Quiz 4: Introduction to Cybersecurity Essentials<br /><br /></div><div><strong>Module 5: Introduction to Cloud Computing<br /></strong><br /></div><div>·         Reading: Module 5 Introduction and Learning Objectives</div><div>·         Video: What is Cloud Computing?</div><div>·         Reading: Cloud Adoption - No Longer a Choice</div><div>·         Video: Key Cloud Service Providers and Their Services</div><div>·         Video: Overview of Cloud Service Models</div><div>·         Video: Overview of Cloud Infrastructure</div><div>·         Video: Virtualization and Virtual Machines Explained</div><div>·         Reading: Types of Virtual Machines on Cloud</div><div>·         Video: Basics of Storage on Cloud</div><div>·         Hands-on Activity: Identifying Storage Types</div><div>·         Video: Hybrid Multi-Cloud</div><div>·         Video: Containers</div><div>·         Video: Microservices</div><div>·         Video: Serverless Computing</div><div>·         Video: Cloud Native Applications</div><div>·         Video: DevOps on the Cloud</div><div>·         Reading: IoT, AI, Blockchain &amp; Analytics in the Cloud</div><div>·         Lab: Getting started with Serverless</div><div>·         Module Summary: Module 5: Introduction to Cloud Computing</div><div>·         Practice Quiz: Module 5: Introduction to Cloud Computing</div><div>·         Lab: Glossary 5: Introduction to Cloud Computing</div><div>·         Graded Quiz 5: Introduction to Cloud Computing<br /><br /></div><div><strong>Module 6: Final Assessment and (Bonus) IT Support and Operations<br /></strong><br /></div><div>·         Reading: Module 6 Introduction and Learning Objectives</div><div>·         Final Exam: IT Fundamentals for Everyone</div><div>·         Retake exam</div><div>·         Video: Introduction to Troubleshooting</div><div>·         Video: Levels of Technical Support</div><div>·         Video: Service-Level Agreements (SLAs) </div><div>·         Video: What are Ticketing Systems?</div><div>·         Video: Features and Benefits of Ticketing Systems</div><div>·         Activity: Exploring the Lifecycle of a Ticket</div><div>·         Reading: Module Summary: Troubleshooting and Ticketing Systems</div><div>·         Reading: Glossary 6: IT Support and Operations</div><div>·         Practice Quiz: Troubleshooting and Ticketing Systems<br /><br /></div><div><strong>Module: Course Wrap-up<br /></strong><br /></div><div>·         Reading: Congratulations and Next Steps</div><div>·         Reading: Course Team and Acknowledgements</div><div>·         Reading: Copyrights and Trademarks</div><div>·         Course Rating</div><div>·         Feedback<br /><br /></div><div><strong>Badge<br /></strong><br /></div><div>·         Reading: How to claim your certificate</div><div>·         Reading: Claim your badge here</div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Recommended to have a basic knowledge of information technology. No IT background is necessary. Some familiarity with ticketing systems may be useful. </div><div> </div><div>To transition to a career in information technology, we recommend enrolling in the full Professional Certificate program and working through the courses in order. Within a few months, you’ll have job-ready skills and practical experience on your resume that will catch an employer's eye! </div>
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Information Technology (IT) Fundamentals

Build job-ready skills for information technology (IT) within 6 weeks. Get practical experience and a credential. No prior experience in IT is required.

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  <div><em>By completing this course, you'll gain the expertise to excel in project management and position yourself for success in job interviews and real-world projects.</em> </div><div> </div><div><strong><em>You Will learn:</em></strong> </div><ul><li><em>Explain the role of a project manager, career opportunities, the roles, titles, responsibilities and the required skills and competencies.</em> </li><li><em>Build and refine essential career documents like a resume, portfolio, and cover letter tailored to project management roles.</em> </li><li><em>Prepare for various interview question types, including industry-specific, skills-based, and behavioral questions, to improve your interview performance.</em> </li><li><em>Learn the best practices for post-interview strategies, salary negotiation, and positioning yourself for career growth.</em> </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div><em>As the demand for project managers rises across industries like construction, healthcare, IT, and finance. According to the Project Management Institute's (PMI) most recent Talent Gap report, 2.3 million people will be needed each year to fill all the project management-oriented positions expected to open soon.</em> </div><div> </div><div><em>The course helps you understand the roles of a project manager and prepares you for interviews around project management opportunities.</em> </div><div> </div><div><em>You’ll gain insight into salary negotiation techniques, post-interview follow-up, and strategies to increase your chances of securing a project management role. By completing practical exercises, you’ll build a portfolio showcasing your project management capabilities, helping you stand out in the job market.</em> </div><div> </div><div><em>If you're ready to advance your project management career, enroll today and gain the expertise to manage projects end-to-end while positioning yourself for success!<br /></em><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Building a Foundation</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: Course Syllabus and Prerequisites </li><li>Reading: Helpful Tips for Course Completion </li><li>Video: Role of a Project Manager </li><li>Reading: PMI Talent Triangle Skill Overview </li><li>Video: Expert Viewpoints: Project Manager Roles and Skills </li><li>Hands-on Lab: Perform Skills’ Readiness </li><li>Video: IBM Project Manager Professional Certificates </li><li>Reading: Additional Program Recommendations </li><li>Video: Project Management Career Opportunities </li><li>Reading: Introduction to Project Management Certifications </li><li>Video: Expert Viewpoints: Project Management as a Careers </li><li>Reading: Lesson 1 Summary: Project Management as a Career </li><li>Practice Assignment: Practice Quiz 1: Project Management as a Career </li><li>Reading: The Purpose and Value of a Personal Portfolio </li><li>Video: Illustrating a Personal Portfolio </li><li>Video: Expert Viewpoints: Personal Portfolios </li><li>Hands-on Lab: Develop a Personal Portfolio </li><li>Video: Creating Profiles for Online Sites </li><li>Video: Drafting the Elevator Pitch </li><li>Video: Expert Viewpoints: Elevator Pitch </li><li>Hands-on Lab: Develop an Elevator Pitch </li><li>Reading: Lesson 2 Summary: Creating a Personal Portfolio and an Elevator Pitch </li><li>Reading: Module 1 Glossary: Building a Foundation </li><li>Graded Assessment: Module 1 Graded Quiz: Building a Foundation </li></ul><div><strong>Module 2: Identifying Jobs, Creating Resumes, and Drafting Cover Letters</strong> </div><ul><li>Video: Conducting Company and Industry Research </li><li>Reading: Finding Job Postings </li><li>Hands-on Lab: Assess Job Postings </li><li>Video: Expert Viewpoints: Conducting Research </li><li>Reading: Networking Online and Offline </li><li>Video: Working with a Third-Party Recruiter </li><li>Reading: Lesson 1 Summary: Identifying Jobs </li><li>Practice Assignment: Lesson 1 Practice Quiz: Identifying Jobs </li><li>Video: Drafting a Resume </li><li>Reading: Gathering Professional References </li><li>Video: Expert Viewpoints: Developing a Project Management Resume </li><li>Hands-on Lab: Draft a Basic Resume </li><li>Video: Drafting a Cover Letter </li><li>Hands-on Lab: Draft a Cover Letter </li><li>Reading: Lesson 2 Summary: Drafting Resumes and Cover Letters </li><li>Practice Assignment: Lesson 2 Practice Quiz: Drafting Resumes and Cover Letters </li><li>Reading: Module 2 Glossary: Identifying Jobs, Creating Resumes, and Drafting Cover Letters </li><li>Graded Assignment: Module 2 Graded Quiz: Identifying Jobs, Creating Resumes, and Drafting Cover Letters </li></ul><div><strong>Module 3: The Interview Process</strong> </div><ul><li>Reading: End-to-End Interview Process </li><li>Video: Submitting Your Application </li><li>Video: Preparing for the Interview </li><li>Reading: Human Resources (HR) Screening </li><li>Reading: First Stage Interview Process </li><li>Video: Expert Viewpoints: The First Stage Interview </li><li>Video: Project Manager Mock Interview: The First Round Interview </li><li>Reading: Technical Screening </li><li>Video: Project Manager Mock Interview: The Technical Interview </li><li>Hands-on Lab: Develop Responses to Common Interview Questions </li><li>Reading: Lesson 1 Summary: Initial Interview Rounds </li><li>Practice Assignment: Lesson 1 Practice Quiz: Initial Interview Rounds </li><li>Reading: Final Interview Checklist </li><li>Video: Final Interview: Pre-Interview Steps </li><li>Reading: The Remote or Virtual Interview </li><li>Video: Expert Viewpoints: Interview Preparation </li><li>Video: Attending an Interview </li><li>Video: Answering Questions </li><li>Video: Expert Viewpoints: Responding to Questions </li><li>Reading: Closing the Interview </li><li>Video: Project Manager Mock Interview: The Final Interview </li><li>Hands-on Lab: Respond to Questions using the Star Technique </li><li>Reading: Lesson 2 Summary: Final Interview </li><li>Practice Assignment: Lesson 2 Practice Quiz: Final Interview </li><li>Reading: Module 3 Glossary: The Interview Process </li><li>Graded Assignment: Module 3 Graded Quiz: The Interview Process </li></ul><div><strong>Module 4: Understanding Interview Questions and Post-Interview Next Steps</strong> </div><ul><li>Video: Core and Behavioral Interview Questions </li><li>Reading: Case Study Questions </li><li>Video: Expert Viewpoints: Interview Questions  </li><li>Hands-on Lab: Critique Mock Interview Responses </li><li>Reading: Other Interview Methods </li><li>Video: Trick Questions and Illegal Questions </li><li>Video: Expert Viewpoints: Difficult Questions </li><li>Reading: Lesson 1 Summary: Interview Questions </li><li>Practice Assignment: Lesson 1 Practice Quiz: Interview Questions </li><li>Reading: Post-Interview Checklist </li><li>Reading: If You Get an Offer </li><li>Video: Salary Negotiation </li><li>Reading: If You Don’t Get an Offer </li><li>Video: Expert Viewpoints: Job Offers </li><li>Reading: Final Course Checklist </li><li>Reading: Lesson 2 Summary: Post-Interview Next Steps </li><li>Practice Assignment: Lesson 2 Practice Quiz: Post-Interview Next Steps </li><li>Reading: Module 4 Glossary: Understanding Interview Questions and Post-Interview Next Steps </li><li>Graded Assignment: Module 4 Graded Quiz: Understanding Interview Questions and Post-Interview Next Steps </li></ul><div><strong>Module 5: Final Project, Final Quiz, and Course Wrap-Up</strong> </div><ul><li>Final Project: Apply for a Project Management Position </li><li>Graded Assignment: Final Quiz </li><li>Reading: Course Summary </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div><em>No prior project management experience is required. This course suits beginners and practicing project managers looking to enhance their careers.</em> </div>
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Project Management Job Guide: Resume & Interview Preparation

Gain hands-on experience understanding the role of a project manager, preparing a resume, portfolio, and cover letter, and mastering interview skills. Learn to respond effectively to various interview questions, apply post-interview strategies, and use salary negotiation tips to position yourself for career success. 

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  <div>Transform your career by mastering the Scrum Master role. This course equips you with essential skills, certifications, and industry insights to thrive in Agile environments. <br /><br /></div><div><strong>You will learn:</strong> </div><ul><li>Summarize the role of the Scrum Master to include a position description, benefits of the position, and key skills essential to success.  </li><li>Compare and contrast the role of the Scrum Master to a traditional project manager.  </li><li>Describe opportunities for Scrum Masters in the current work environment to include potential employment, job requirements, and salary ranges.  </li><li>Define certification opportunities in Agile and Scrum to include Scrum Alliance CSM, PMI-ACP, and PMI-DASM.  </li></ul><div><strong>Course Overview</strong> </div><div> </div><div>Unleash your career potential with our course on the fundamentals of the Scrum Master role. Whether you’re new to Agile methodologies or seek to enhance your project management skills, this course will equip you with the knowledge and tools needed to excel as a Scrum Master.  </div><div> </div><div>Throughout the course, you’ll learn the essential aspects of being a Scrum Master. By contrasting Scrum with traditional project management methods, you’ll gain a deep understanding of why Scrum is a game-changer in today’s dynamic business landscape.  </div><div> </div><div>We also dive into the practical skills required to become a highly effective Scrum Master. Through hands-on practice and real-life scenarios, you’ll develop your abilities to navigate challenges, foster collaboration, and drive successful project outcomes.   </div><div> </div><div>Although this course is beneficial for learners who are already project managers, it is not essential for them to have project management experience.  </div><div> </div><div>With engaging video content and interactive exercises, you’ll find yourself immersed in the world of Scrum. The course is designed to prepare you for the final exam, designed to simulate the certification exams you may encounter. Gain the confidence and experience you need to ace those tests and prove your expertise as a Scrum Master. </div><div> </div><div><strong>Prerequisites</strong> </div><div>This aspiring Scrum Master should possess some basic project management skills and experience. However, experience is not mandatory.  </div><div> </div><div>By the end of this course, you’ll be well-prepared to navigate the Agile world as a skilled Scrum Master. With the knowledge, confidence, and practical skills gained, you can step into this dynamic role and drive impactful project success. Start your journey today and join the ranks of successful Scrum Masters transforming industries worldwide! <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: The Role of the Scrum Master</strong> </div><ul><li>Reading: Module 1 Introduction and Learning objectives </li><li>Reading: Module 1 Overview </li><li>Video: Scrum Master Role and Benefits </li><li>Video: Expert Viewpoints: What Does the Scrum Master Do? </li><li>Video: Scrum Master Skill Inventory </li><li>Video: Expert Viewpoints:  Scrum Master Skills  </li><li>Video: A Day in the Life of a Scrum Master </li><li>Reading: Adaptive Methodologies </li><li>Lab: Case Study: The Role of a Scrum Master </li><li>Reading: Module 1 Summary: The Role of the Scrum Master </li><li>Practice Quiz: Module 1 The Role of the Scrum Master </li><li>Reading: Module 1 Glossary: The Role of the Scrum Master  </li><li>Graded Quiz: Module 1 The Role of the Scrum Master  </li><li>Discussion Prompt: Introduce Yourself and Why You Are Interested in Scrum  </li></ul><div> </div><div><strong>Module 2: Scrum Master Opportunities</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Reading: Module 2 Overview </li><li>Video: Scrum Master and Traditional Project Manager Comparison  </li><li>Video: Expert Viewpoints: Traditional Project Management and the Scrum Master  </li><li>Video: Developing Scrum Master Skills </li><li>Video: Scrum Master Employment Opportunities </li><li>Video: Scrum Master Levels </li><li>Video: Expert Viewpoints: Why Become a Scrum Master </li><li>Hands-on Lab: Potential Scrum Master Job Opportunities  </li><li>Reading: Module 2 Summary: Scrum Master Opportunities  </li><li>Practice Quiz: Module 2 Scrum Master Opportunities  </li><li>Reading: Module 2 Glossary: Scrum Master Opportunities  </li><li>Graded Quiz: Module 2  Scrum Master Opportunities  </li><li>Discussion Prompt: Are You Now More or Less Motivated to Pursue the Role of Scrum Master? Why? </li></ul><div> </div><div><strong>Module 3: Scrum Master Job Overview and Opportunities</strong> </div><ul><li>Reading: Module 3 Introduction and Learning objectives </li><li>Reading: Module 3 Overview </li><li>Reading: Module 1 and 2  Recap </li><li>Video: Expert Viewpoints: Scrum Master Employment </li><li>Video: The Path to Certification PMI-ACP, PMI-DASM, and CSM  </li><li>Video: Expert Viewpoints: Scrum Master Job Environment </li><li>Reading: Module 3 Glossary: Scrum Master Job Overview and Opportunities   </li><li>Practice Assessment: Scrum Master Job Overview and Opportunities  </li><li>Reading: Course Glossary: Scrum Master Job Overview and Opportunities  </li><li>Graded Assessment: Scrum Master Job Overview and Opportunities  </li></ul><div><strong>Module 4: Final Project [HONORS]</strong> </div><ul><li>Video: Expert Viewpoints: Advice for Aspiring Scrum Masters </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Module Introduction and Learning Objectives </li><li>Reading: Final Project Overview </li><li>Lab: Project Scenario </li><li>Lab: Exercise 1: Perform a SWOT Analysis </li><li>Lab: Exercise 2: Take Action Based on SWOT Analysis </li><li>Lab: Peer review: Getting Ready to Implement Scrum </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>This aspiring Scrum Master should possess some basic project management skills and experience. However, experience is not mandatory.  </div><div> </div><div>By the end of this course, you’ll be well-prepared to navigate the Agile world as a skilled Scrum Master. With the knowledge, confidence, and practical skills gained, you can step into this dynamic role and drive impactful project success. Start your journey today and join the ranks of successful Scrum Masters transforming industries worldwide! </div>
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Scrum Master: Job Role Fundamentals

Master the fundamentals of Scrum, Agile methodologies, and essential Scrum Master skills. Gain certification insights and explore career opportunities in project management. 

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  <div>This Project Management: Communication and Stakeholders course teaches you the skills you need to move into project management roles.  </div><div> </div><div><strong>You Will learn:</strong> </div><ul><li>Job-ready skills in 6 weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>Ways to foster a healthy environment for team members and explain the effects of empowering team members </li><li>Project communications by applying different communication skills and mediums </li><li>Leadership skills to get positive project outcomes, build trusting teams, and establish strong stakeholder relationships </li><li>Stakeholder engagement by applying the knowledge and skills to acquire resources and keep stakeholders involved in the project </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>Project management is a highly valued skill that provides a structured approach for managing projects. Communication, stakeholder management, and leadership skills are core to any project manager’s success.  </div><div> </div><div>This course is intended for beginners or experienced professionals looking to switch to or advance their careers in project management.  </div><div> </div><div>This course teaches you how to lead, communicate, and manage stakeholders as a project manager. This course will teach you how to cultivate a healthy project environment and review the benefits of empowering team members. You will learn various ways of communicating with team members across different types of stakeholders using appropriate communication mediums and channels. You will explore the leadership skills used to improve stakeholder engagement and facilitate successful projects from their inception through closing.  </div><div> </div><div>Throughout this course, you will work with numerous hands-on labs and real-world scenarios to develop communication, leadership, and stakeholder management skills. </div><div> </div><div>This course is part of a series of courses that will help you prepare for certifications offered by the Project Management Institute (PMI), including Certified Associate of Project Management (PMI-CAPM) and Project Management Professional (PMI-PMP). </div><h1>Course Syllabus</h1><div><strong>Module 1: Creating a Healthy Project Foundation</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Put Your People First </li><li>Discussion Prompt: Creating a Healthy Project Environment </li><li>Video: Communicating Clear Project Objectives </li><li>Video: Participating in the Work </li><li>Video: Expert Viewpoints: Characteristics of Servant Leadership </li><li>Discussion Prompt: Servant Leadership </li><li>Practice Module 1: Creating a Healthy Project Foundation </li><li>Module 1 Summary: Creating a Healthy Project Foundation </li><li>Module 1 Glossary: Creating a Healthy Project Foundation </li><li>Module 1 Graded Quiz: Creating a Healthy Project Foundation </li></ul><div> </div><div><strong>Module 2: Effective Communications Building Blocks</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Effective Conversations </li><li>Video: Project Management Communication Skills </li><li>Video: Project Communications Overview </li><li>Video: Expert Viewpoints: Communicating Effectively for Positive Results </li><li>Video: Synchronous vs Asynchronous Communications </li><li>Video: Communications Mediums </li><li>Video: Expert Viewpoints: What’s the Most Effective Communication Media </li><li>Discussion Prompt: Managing Communications  </li><li>Video: Effective Engagement  </li><li>Video: Cross Cultural Communications and Communications Channels </li><li>Reading: Introduction to Failing Fast </li><li>Video: When is Failing Fast Good? </li><li>Video: Expert Viewpoints: Failing Fast Successfully </li><li>Discussion Prompt: Failing Fast </li><li>Reading: Key Project Roles </li><li>Project Role Identification: RACI </li><li>Discussion Prompt: Traditional Role Impact </li><li>Video: Expert Viewpoints: Working Together as a Team </li><li>Hands-on Lab: Key Project Roles and RACI </li><li>Practice Quiz: Module 2: Effective Communications Building Blocks </li><li>Module 2 Summary: Effective Communications Building Blocks </li><li>Module 2 Glossary: Effective Communications Building Blocks  </li><li>Module 2 Graded Quiz: Effective Communications Building Blocks </li></ul><div> </div><div><strong>Module 3: Communications Planning</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Key Tool - Critical Path Method  </li><li>Video: Demo: Critical Path Method  </li><li>Hands-on Lab: Perform Critical Path Analysis </li><li>Video: Critical Chain Method  </li><li>Video: Key Tool - Communications Management Plan </li><li>Reading: Business Analyst Communication Requirements </li><li>Video: Demo: Communications Management Plan </li><li>Hands-on Lab: Create a Communications Management Plan </li><li>Video: Expert Viewpoints: Planning for Effective Virtual and In Person Communications </li><li>Video: Planning Virtual Communications </li><li>Discussion Prompt: Planning Virtual Communications  </li><li>Video: Status Reporting </li><li>Video: Demo: Status Reporting </li><li>Hands-on Lab: Create a Project Status Report </li><li>Reading: Defining Communication Styles </li><li>Video: Demo: Assessing Communication Styles </li><li>Hands-on Lab: Assess Your Communication Style </li><li>Practice Quiz: Module 3: Communications Planning </li><li>Module 3 Summary: Communications Planning </li><li>Module 3 Glossary: Communications Planning </li><li>Module 3 Graded Quiz: Communications Planning </li></ul><div> </div><div><strong>Module 4: Leadership Fundamentals</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Leadership Essentials </li><li>Video: Expert Viewpoints: Why Leadership? </li><li>Discussion Prompt: Examples of Good Leadership </li><li>Video: Expert Viewpoints: Leading Successfully </li><li>Video: Demo: Leadership Level Survey </li><li>Hands-on Lab: Leadership Level </li><li>Video: Impact of a Good Leader on Team Dynamics and Productivity </li><li>Discussion Prompt: Attributes of a Good Leader </li><li>Reading: Techniques for Improving Leadership Skills </li><li>Video: Leadership Factors and Styles </li><li>Discussion Prompt: Readiness Levels and Leadership Challenges </li><li>Video: Expert Viewpoints: Leadership Competencies, Skills, and Mindset </li><li>Video: Situational Leadership with Your Team </li><li>Reading: Mapping Situational Leadership Model to the Tuckman Ladder </li><li>Reading: The Knowledge Sharing Hierarchy </li><li>Reading: Intuitive Decision-Making </li><li>Video: Expert Viewpoints: Using your Intuition </li><li>Practice Quiz: Module 4: Leadership Fundamentals </li><li>Module 4 Summary: Leadership Fundamentals </li><li>Reading: Module 4 Glossary: Leadership Fundamentals </li><li>Module 4 Graded Quiz: Leadership Fundamentals </li></ul><div> </div><div><strong>Module 5:  Managing and Leading Stakeholders</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Effective Resource Planning </li><li>Video: Acquiring Resources </li><li>Hands-on Lab: Acquiring Resources and Effective Negotiation </li><li>Video: Building Trust </li><li>Video: Expert Viewpoints: Trusting Team Environment </li><li>Discussion Prompt: Building Trust </li><li>Video: Emotional Intelligence </li><li>Reading: Managing Up </li><li>Video: Adaptability and Resilience </li><li>Video: Expert Viewpoints: Overcoming Resource Planning Challenges </li><li>Discussion Prompt: Resource Scheduling </li><li>Practice Quiz: Module 5:  Managing and Leading Stakeholders </li><li>Reading: Module 5 Summary:  Managing and Leading Stakeholders </li><li>Reading: Module 5 Glossary: Managing and Leading Stakeholders </li><li>Module 5 Graded Quiz: Managing and Leading Stakeholders </li></ul><div> </div><div><strong>Module 6: Final Project and Quiz</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Final Project Overview </li><li>Reading: Project Scenario </li><li>Lab: Exercise 1: Identify Key Roles and Develop Team RACI </li><li>Lab: Exercise 2: Revise a Communications Management Plan </li><li>Lab: Exercise 3: Develop a Project Status Report </li><li>Lab: Exercise 4: Create a Resource Breakdown Structure </li><li>Peer Review: Manage Project Communications and Stakeholders </li><li>Final Course Quiz </li><li>Graded Quiz: Final Course Quiz </li><li>Reading: Retake Exam</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>To take this course, you should have basic to intermediate skills in an Office Productivity Suite, such as Microsoft Office 365. We highly recommend enrolling in the SkillUp EdTech Office Productivity Software Specialization, which covers Word Processing, Spreadsheets, PowerPoint, Messaging, and Email.  </div><div> </div><div>Throughout this short, self-paced course, you will receive instructional guidance through videos and practice labs to learn. You will also have a final project to demonstrate your abilities and skills as an AI HR professional.</div>
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Project Management: Communications and Stakeholders

Build job-ready AI project management and leadership skills with valuable practical experience and credentials in just six weeks. No programming experience is required.

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  <div>This Project Management: Lifecycle and Risk Management course teaches you the skills you need for your AI career.  </div><div> </div><div><strong>You will learn:</strong> </div><div> </div><ul><li>Job-ready skills in few weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>Various project lifecycles including waterfall and adaptive lifecycles </li><li>Information sharing techniques to improve communication effectiveness with team members and external stakeholders </li><li>An end-to-end risk analysis including SWOT analysis, risk register, and risk matrix </li><li>Executable risk response strategies to avoid or mitigate threats and exploit or enhance opportunities. </li></ul><div> </div><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>Every project comes with a risk. If a risk occurs, the project team operates in a reactive mode, potentially moving toward project failure. As a project manager, you will need to be vigilant and constantly evaluate and mitigate potential risks.  </div><div>This Project Management: Lifecycle and Risk Management course builds job-ready skills that will fuel your project manager career in a few weeks.  </div><div> </div><div>In this course, you will learn the compelling art of risk management throughout the project lifecycle using information sharing techniques to keep all stakeholders informed and aligned.  </div><div> </div><div>This course introduces you to various phases in the project lifecycle and explains the difference in the phases based on the selected project methodology. Additionally, you will have the opportunity to explore best practices for information sharing with project teams and external stakeholders while equipping yourself with effective information sharing techniques. </div><div> </div><div>The course delves into the risk management lifecycle, from planning and identifying risks to evaluation. You will also learn different strategies to respond to risks. You will learn about various tools, such as risk reports, risk registers, and the risk matrix, and the opportunity to apply your skills to create these artifacts for project scenarios. </div><div> </div><div>Furthermore, this course will be set up to help you succeed as a project manager. It is well-suited for those looking to step up their careers or new graduates seeking to establish their project management careers. </div><div> </div><div>Additionally, you’ll get valuable hands-on practice in online labs for SWOT analysis, develop a risk register, and create a risk matrix. </div><div> </div><div>If you’re keen to boost your resume and extend your career as a project manager with skills in information sharing and risk mitigation, ENROLL today and build job-ready skills in 15-18 hours. <br /><br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome<br /></strong><br /></div><div>·         Video: Course Introduction</div><div>·         Reading: General Information</div><div>·         Reading: Learning Objectives and Syllabus</div><div>·         Reading: Grading Scheme</div><div>·         Reading: Introduction to Project Management Certifications</div><div>·         Reading: How to Make the Most of this Course<br /><br /></div><div><strong>Module 1: The Project Management Lifecycle<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Video: Lifecycle Overview</div><div>·         Video: Expert Viewpoints: Lifecycle Selection Management</div><div>·         Video: Adaptive Lifecycles</div><div>·         Video: Project Initiation</div><div>·         Video: Project Planning</div><div>·         Video: Project Executing</div><div>·         Video: Project Monitoring and Controlling</div><div>·         Reading: Project Closing</div><div>·         Reading: Common Causes for Project Failure   </div><div>·         Lab: Hands-on Lab: Why Projects Fail</div><div>·         Video: Expert Viewpoints: Project Failure</div><div>·         Practice Quiz: Module 1: The Project Management Lifecycle</div><div>·         Reading: Module 1 Summary and Highlights: The Project Management Lifecycle</div><div>·         Reading: Module 1 Glossary: The Project Management Lifecycle</div><div>·         Module 1 Graded Quiz: The Project Management Lifecycle<br /><br /></div><div><strong>Module 2: Information Sharing: Communications <br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Video: Communications Basics</div><div>·         Video: Communications Planning</div><div>·         Video: Expert Viewpoints: Communications Planning</div><div>·         Video: Manage Communications - Part 1</div><div>·         Video: Manage Communications - Part 2</div><div>·         Video: Manage Communications, Tools, and Techniques</div><div>·         Video: Monitor Communications</div><div>·         Video: Expert Viewpoints: Monitoring and Controlling Communications</div><div>·         Lab: Hands-on Lab: Communication Effectiveness</div><div>·         Practice Quiz: Module 2: Information Sharing: Communications </div><div>·         Reading: Module 2 Summary and Highlights: Information Sharing: Communications </div><div>·         Reading: Module 2 Glossary: Information Sharing: Communications </div><div>·         Module 2 Graded Quiz: Information Sharing: Communications <br /><br /></div><div><strong>Module 3: Information Sharing: Stakeholder Management<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Video: Identify Stakeholders </div><div>·         Video: Plan Stakeholder Engagement </div><div>·         Reading: Manage Stakeholder Engagement</div><div>·         Video: Expert Viewpoints: Stakeholder Management Tools</div><div>·         Video: Monitor Stakeholder Engagement</div><div>·         Video: Expert Viewpoints: Ground Rules and Norms</div><div>·         Video: Demo: Team Charter</div><div>·         Lab: Hands-on Lab: Develop a Team Charter</div><div>·         Practice Quiz: Module 3: Information Sharing: Stakeholder Management</div><div>·         Reading: Module 3 Summary and Highlights: Information Sharing: Stakeholder Management</div><div>·         Reading: Module 3 Glossary: Information Sharing: Stakeholder Management</div><div>·         Module 3 Graded Quiz:  Information Sharing: Stakeholder Management<br /><br /></div><div><strong>Module 4: Introduction to Project Risk Management<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Video: Project Risk Management Overview</div><div>·         Video: Risk Defined</div><div>·         Video: Risk Metalanguage</div><div>·         Video: SWOT Analysis </div><div>·         Lab: Hands-on Lab: Perform SWOT Analysis</div><div>·         Video: The Risk Management Plan</div><div>·         Video: Expert Viewpoints: Risk Planning</div><div>·         Reading: Customer &amp; Stakeholder Interaction</div><div>·         Video: Demo: Risk Register</div><div>·         Lab: Hands-on Lab: Develop a Risk Register</div><div>·         Video: Expert Viewpoints: Risk Management</div><div>·         Practice Quiz: Module 4: Introduction to Project Risk Management</div><div>·         Reading: Module 4 Summary and Highlights: Introduction to Project Risk Management</div><div>·         Reading: Module 4 Glossary: Introduction to Project Risk Management</div><div>·         Module 4 Graded Quiz: Introduction to Project Risk Management<br /><br /></div><div><strong>Module 5: Respond and Monitor Risk<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Video: Respond to Risk</div><div>·         Video: Expert Viewpoints: Risk Responses</div><div>·         Video: Risk Report</div><div>·         Video: Risk Reassessment (Review)</div><div>·         Video: Expert Viewpoints: Risk Monitoring</div><div>·         Video: Risk Matrix</div><div>·         Lab: Hands-on Lab: Create a Risk Matrix</div><div>·         Practice Quiz: Module 5: Respond and Monitor Risk</div><div>·         Reading: Module 5 Summary and Highlights: Respond and Monitor Risk</div><div>·         Reading: Module 5 Glossary: Respond and Monitor Risk</div><div>·         Module 5 Graded Quiz: Respond and Monitor Risk<br /><br /></div><div><strong>Module 6: Final Project and Quiz<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Reading: Final Project Overview</div><div>·         Final Project Scenario</div><div>·         Lab: Hands-on Lab: Perform SWOT Analysis</div><div>·         Lab: Hands-on Lab: Develop a Risk Register</div><div>·         Lab: Hands-on Lab: Create a Risk Matrix</div><div>·         Peer Review: Perform Initial Risk Analysis</div><div>·         Final Course Quiz: Project Lifecycle, Information Sharing, and Risk Management</div><div>·         Retake Exam<br /><br /></div><div><strong>Module 7: Course Summary and Next Steps<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objective</div><div>·         Reading: Key Takeaways</div><div>·         Reading: Congratulations and Next Steps</div><div>·         Reading: Thanks from the Course Team</div><div>·         Reading: Copyrights and Trademarks</div><div>·         Course Rating and Feedback<br /><br /></div><div><strong>Feedback<br /></strong><br /></div><div>·         Completion Certificate</div><div>·         How to claim your certificate</div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>It is good for everyone gearing toward a career in project management to have basic to intermediate skills in an Office Productivity Suite, such as Microsoft Office 365. We highly recommend enrolling in the SkillUp EdTech Office Productivity Software Specialization, which covers Word Processing, Spreadsheets, PowerPoint, Messaging, and Email.  </div><div> </div><div>To transition to a career in project management lifecycle, we recommend you enroll in the full Professional Certificate program and work through the courses in order. Within a few months, you’ll have job-ready skills and practical experience on your resume that will catch an employer's eye! </div>
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Project Management: Lifecycle and Risk Management

Gain job-ready skills for the project management lifecycle in weeks. Get practical experience and a credential—no prior project management experience needed. 

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  <div>This Project Management Foundations, Initiation, and Planning course teaches you the skills you need to move into project management roles.  </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Job-ready skills in 6 weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential </li><li>Compare and contrast predictive and adaptive project management models </li><li>Investigate how to lead effective meetings and how motivating your team can lead to project success </li><li>Create planning documents that help you scope a project, plan project schedules, and create accurate budgets </li><li>Apply processes and tools that drive project initiation   </li></ul><div><strong>Course Overview</strong> </div><div> </div><div>Project management helps to navigate complex and rapidly changing work environments. In the evolving work environment, organizations divide work into projects. Project management is a structured approach to plan and manage tasks to achieve planned delivery for the deliverables.  </div><div> </div><div>In this course, you’ll compare and contrast predictive and adaptive project management models. Learn to avoid common causes of project failure. Investigate how to lead effective meetings and how motivating your team can lead to project success. Create essential documents required during the project initiation phase, such as business case, project charter, project brief, stakeholder register, and engagement plan. Prepare supporting project documents for developing project scope, schedules, and budgets. </div><div> </div><div>The hands-on labs in this course will provide you with practical project management skills. You can use a portfolio of widely used project initiation and planning assets to demonstrate your skills to potential employers. </div><div>   </div><div>This course is set up to help you succeed as a project manager. It is well-suited for those looking to step up their careers or new graduates seeking to establish their project management careers. </div><div> </div><div>This course is part of a series of courses intended to help you prepare for the CAPM and PMP certification exams. <br /><br /></div><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome<br /></strong><br /></div><div>·         Reading: Welcome</div><div>·         Video: Course Introduction</div><div>·         Reading: General Information</div><div>·         Reading: Learning Objectives and Syllabus</div><div>·         Reading: Grading Scheme</div><div>·         Video: What Inspired Us to Create this Course?</div><div>·         Video: How to Make the Most Out of this Course?</div><div>·         Video: Instructor Introductions<br /><br /></div><div><strong>Module 1: Why Project Management?<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Video: Expert Viewpoints: Importance of Project Management</div><div>·         Video: Expert Viewpoints: Project Management - The Journey </div><div>·         Video: Expert Viewpoints: Project Management - The Journey Example</div><div>·         Video: How is this Course Different?</div><div>·         Reading: Introduction to Project Management Certification</div><div>·         Reading: Module 1 Summary and Highlights<br /><br /></div><div><strong>Module 2: Traditional Project Management<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Reading: Overview of Key Project Management Models</div><div>·         Video: Traditional Project Management</div><div>·         Video: Expert Viewpoints: Lifecycle Selection</div><div>·         Video: Project Management Phases</div><div>·         Video: Different Types of Organizations</div><div>·         Video: The Project Management Office</div><div>·         Video: Expert Viewpoints: The Project Management Office</div><div>·         Reading: Traditional Project Management in Action</div><div>·         Practice Quiz: Traditional Project Management</div><div>·         Reading: Stacey Diagram Analysis</div><div>·         Hands-on Lab: Stacey Diagram Analysis</div><div>·         Reading: Module 2 Summary and Highlights: Traditional Project Management</div><div>·         Module 2 Graded Quiz: Traditional Project Management<br /><br /></div><div><strong>Module 3: Modern Project Management<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Video: The 12 Principles of Project Management</div><div>·         Video: Expert Viewpoints: Principles of Project Management</div><div>·         Reading: The 12 Principles of Project Management: Project Scenario</div><div>·         Reading: Project Failure Overview</div><div>·         Video: Project Management in the Virtual Environment</div><div>·         Video: Effective Meeting Management</div><div>·         Reading: Creating a Meeting Agenda and Minutes</div><div>·         Video: Influencing for Results Part 1</div><div>·         Video: Influencing for Results Part 2</div><div>·         Video: Expert Viewpoints: Developing and Managing a Team</div><div>·         Video: Leading Change </div><div>·         Hands-on Lab: The Dysfunctional Team</div><div>·         Video: Managing Quality </div><div>·         Practice Quiz: Module 3: Modern Project Management</div><div>·         Reading: Module 3 Summary and Highlights: Modern Project Management</div><div>·         Module 3 Graded Quiz: Modern Project Management<br /><br /></div><div><strong>Module 4: Setting Up the Project for Success<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Video: The Project Initiation Phase</div><div>·         Video: Key Project Management Modeling Tools, Part 1</div><div>·         Video: Key Project Management Modeling Tools, Part 2</div><div>·         Video: Expert Viewpoints: Project Initiation</div><div>·         Hands-on Lab: Develop a Project Charter and Project Brief</div><div>·         Video: Develop Stakeholder Register</div><div>·         Video: Decision Making</div><div>·         Video: Expert Viewpoints: Stakeholder Identification and Management </div><div>·         Hands-on Lab: Develop a Stakeholder Register</div><div>·         Video: Stakeholder Engagement Plan</div><div>·         Hands-on Lab: Develop a Stakeholder Engagement Plan</div><div>·         Video: Key Financial Metrics</div><div>·         Video: Project Budgets</div><div>·         Practice Quiz: Module 4: Setting Up the Project for Success</div><div>·         Reading: Module 4 Summary and Highlights: Setting Up the Project for Success</div><div>·         Module 4 Graded Quiz: Setting up the project for success<br /><br /></div><div><strong>Module 5: Project Planning<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Reading: Project Planning</div><div>·         Reading: Project Planning: Role of a Business Analyst Expanded</div><div>·         Video: Expert Viewpoints: Role of a Business Analyst</div><div>·         Video: Scope Planning</div><div>·         Video: Schedule Planning</div><div>·         Hands-on Lab: Build a Work Breakdown Structure (WBS) and Network Diagram</div><div>·         Video: Demo: Budget Planning Part 1</div><div>·         Video: Demo: Budget Planning Part 2</div><div>·         Reading: Budget Planning</div><div>·         Hands-on Lab: Budget Planning</div><div>·         Video: Project Support Planning</div><div>·         Reading: Project Manager’s Role in Procurement Planning</div><div>·         Video: Demo: Planning Earned Value Management Part 1</div><div>·         Video: Demo: Planning Earned Value Management Part 2</div><div>·         Reading: Planning Earned Value Management</div><div>·         Hands-on Lab: Earned Value Management (EVM)</div><div>·         Reading: Gaining Project Approval and Acceptance</div><div>·         Video: Expert Viewpoints: Project Support Planning</div><div>·         Video: Expert Viewpoints: Project Support Planning Tips</div><div>·         Practice Quiz:  Module 5: Project Planning</div><div>·         Reading: Module 5 Summary and Highlights</div><div>·         Module 5 Graded Quiz: Project Planning<br /><br /></div><div><strong>Module 6: Final Project and Quiz<br /></strong><br /></div><div>·         Reading: Module Introduction and Learning objectives</div><div>·         Reading: Final Project Overview and Instructions</div><div>·         Video: Demo: Develop a  Project Charter</div><div>·         Hands-on Lab: Develop a Project Charter</div><div>·         Video: Demo: Develop a Stakeholder Register</div><div>·         Hands-on Lab: Develop a Stakeholder Register </div><div>·         Video: Demo: Develop a Work Breakdown Structure</div><div>·         Hands-on Lab: Build a Work Breakdown Structure (WBS)</div><div>·         Video: Demo: Develop a Network Diagram</div><div>·         Hands-on Lab: Develop a Project Network Diagram</div><div>·         Video: Demo: Develop a High-Level Budget Part 1</div><div>·         Video: Demo: Develop a High-Level Budget Part 2</div><div>·         Hands-on Lab:  Develop a High-Level Budget</div><div>·         Peer-graded Assignment: Project Initiation and Set-Up</div><div>·         Reading: Course Glossary: Project Management Foundations Initiation and Planning</div><div>·         Final Exam: Project Management Foundations Initiation and Planning</div><div>·         Reading: Retake exam<br /><br /></div><div><strong>Module 7: Course Wrap Up<br /></strong><br /></div><div>·         Reading: Key Takeaways</div><div>·         Reading: Congratulations and Next Steps</div><div>·         Reading: Course Team and Acknowledgements</div><div>·         Reading: Copyrights and Trademarks</div><div>·         Course Rating and Feedback<br /><br /></div><div><strong>Feedback<br /></strong><br /></div><div>·         Completion Certificate<br />-         How to claim your certificate? </div><div><br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Having basic to intermediate skills in an Office Productivity Suite, such as Microsoft Office 365, is recommended. We highly recommend enrolling in the SkillUp EdTech Office Productivity Software Specialization, which covers Word Processing, Spreadsheets, PowerPoint, Messaging, and Email. </div><div> </div><div>Throughout this short, self-paced course, you will receive instructional guidance through videos and practice labs to learn. You will also have a final project to demonstrate your abilities and skills in project management.</div>
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Project Management: Initiation and Planning

Build job-ready project initiation and planning skills with valuable practical experience and credentials in just six weeks. No prior experience is required. 

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