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Generative AI Skills for Data Analysts

Premium
Intermediatecourse

Get a headstart in you Data Analyst career using Generative AI. Apply GenAI as a crucial tool to extract, prepare, augment, query, analyze & visualize data.

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Social Sciences

Skills You Will Learn

  • Generative AI, Artificial Intelligence, Dashboards, Data Visualization, Data Preparation, Data Analysis

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 13 hours

Platform

  • SkillsNetwork

Last Update

  • September 13, 2024
About This course
Boost your data analytics career with the power of Generative AI. This course covers fundamental concepts, tools, and applications of GenAI in data analysis.  
 
This course teaches you GenAI techniques for data extraction, generation, augmentation, interpretation and visualization. You will explore how successful professionals employ GenAI for data analysis and gain skills that you can use to be more productive and efficient.  
 
With the use of hands-on labs and practical applications, you will learn to use Generative AI models and platforms like ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more. You will use these platforms and complete tasks like developing Python code and  creating interactive dashboards! 
 
At the end of this course you will complete a final exam as well as a final project that you can add to your portfolio and show to potential employers. 
 
By the end of the course, you will emerge with practical skills to leverage generative AI effectively in data analysis. Expand your Generative AI proficiency to enhance your data analyst career. Enroll today!

Learning Outcomes

After completing this course you will be able to: 
  • Explore the use cases of Generative AI tools and techniques in data analytics 
  • Apply Generative AI tools to perform data analytics tasks including: data preparation, analysis, visualization, and storytelling. 
  • Assess practical case studies that demonstrate the effective application of Generative AI in extracting valuable insights from data. 
  • Examine the ethical implications and obstacles linked with the use of Generative AI in data analytics. 

Course Syllabus

Module 1: Data Analytics and Generative AI 
  • Welcome 
  • Data Analytics and Generative AI   
  • Generative AI for Data Preparation and Insights 
  • Module Assessment 
Module 2: Use of Generative AI for Data Analytics 
  • Generative AI for Data Visualization and Storytelling 
  • Generative AI Considerations in Data Analytics 
  • Module Assessment 
Module 3: Final Project and Final Exam 
  • Final Project 
  • Final Exam 
  • Course Wrap-Up

General Information

  • This course is self-paced. 
  • This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari. 

Recommended Skills Prior to Taking this Course

It is recommended that you have a general familiarity with Generative AI and prompt engineering basics. It is suggested to complete or be familiar with the concepts convered in the following two courses:  
  • Generative AI Essentials  
  • Prompt Engineering Essentials 

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Abhishek Gagneja

Freelance Subject Matter Expert

I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.

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