In this comprehensive course, you'll start by defining data science and understanding its significance in today’s data-driven world. You'll explore various career paths in data science, from foundational roles to advanced positions, and receive valuable advice from seasoned professionals to help you navigate your journey in the field. The course also explains why data science is considered one of the most in-demand careers of the 21st century.

You’ll learn about:

The fundamental definition of data science and the roles of data scientists.

The tools and algorithms commonly used in the field.

Essential skills for success in data science.

The role of data science within businesses and how it drives decision-making.

How to build and manage an effective data science team.

Additionally, the course covers vital skills such as data science, big data, machine learning, deep learning, and data mining. Learners who successfully complete the course will earn an IBM skill badge, which provides a detailed, verifiable credential of the knowledge and skills acquired. The course offers a historical perspective on how data insights have evolved from ancient practices to modern data science, providing a comprehensive introduction to this dynamic field.

Enroll today and kickstart your data analytics career... You have a lot to look forward to!

PREREQUISITES: This is a beginner-friendly introduction to data analysis; therefore, no prior experience is necessary. However, basic knowledge of using a computer, navigating files and folders, and using basic software applications is recommended.

IBM Data Analyst Professional Certificate

This course is part of the IBM Data Analyst Professional Certificate. If you’re keen to kickstart a career in data analytics, we recommend you enroll for the full Professional Certificate program and work through the courses in order. Within just a few months, you’ll have job-ready skills and practical experience on your resume that will catch the eye of an employer!

Course Syllabus

Module 1: Defining Data Science and What Data Scientists Do

What is Data Science
Fundamentals of Data Science
The Many Paths to Data Science
Advice for New Data Scientists
A Day in the Life of a Data Scientist
Data Science Skills & Big Data
Understanding Different Types of File Formats
Data Science Topics and Algorithms

Module 2: Data Science Topics

How Big Data is Driving Digital Transformation
Introduction to Cloud
Cloud for Data Science
Foundations of Big Data
Data Science and Big Data
What is Hadoop?
Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark
Artificial Intelligence and Data Science
Neural Networks and Deep Learning
Applications of Machine Learning

Module 3: Application and Careers in Data Science

How Should Companies Get Started in Data Science?
Old Problems, New Data Science Solutions
Applications of Data Science
How Data Science is Saving Lives
How Can Someone Become a Data Scientist?
Recruiting for Data Science
Careers in Data Science
Importance of Mathematics and Statistics for Data Science

Module 4: Data Literacy for Data Science (Optional)

Understanding Data
Data Sources
Viewpoints: Working with Varied Data Sources and Types
Data Collection and Organization
Relational Database Management System
NoSQL
Data Marts, Data Lakes, ETL, and Data Pipelines
Viewpoints: Considerations for Choice of Data Repository
Data Integration Platforms

What You'll Learn

Understand the concept of data science and the responsibilities of data scientists.
Identify the tools and algorithms commonly utilized in the field.
Recognize the essential skills required for a successful career in data science.
Explore the impact of data science on business operations.
Learn how to assemble and manage a successful data science team.

Recommended Skills Prior to Taking this Course

To get the most out of this course, you need to have basic computer skills, foundational mathematics and statistics, and familiarity with spreadsheets.

Data Science: An Introduction

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