Skip to main content

Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

...
Data Analytics Basics for Everyone

There is one session available:

110,744 already enrolled!
Starts Nov 21

Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

Data Analytics Basics for Everyone
5 weeks
2–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

110,744 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Nov 21

About this course

Skip About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Big Data is and the features and uses of some of the Big Data processing tools.

This course will introduce you to the key tasks a Data Analyst performs in a typical day. This includes how they identify, gather, wrangle, mine and analyze data, and finally communicate their findings to different stakeholders impactfully. You will be introduced to some of the tools Data Analysts use for each of these tasks.

You will learn about the features and use of relational and non-relational databases, data warehouses, data marts, and data lakes. You will understand how ETL, or Extract-Transform-Load, process converts raw data into analysis-ready data. And what are some of the specific languages used by data analytics to extract, prepare, and analyze data.

By the end of this course you will know about the various career opportunities available in the field of Data Analytics, and the different learning paths you can consider to gain entry into this field.

The course ends with some exercises and a hands-on lab to test your understanding of some of the basic data gathering, wrangling, mining, analysis, and visualization tasks.

Awards

Data Analytics Basics for Everyone

At a glance

What you'll learn

Skip What you'll learn
  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Explain the use for different types of data repositories, the ETL process, and Big Data platforms
  • Describe the process and tools for gathering data, wrangling data, mining and analyzing data, and visualizing data
  • List the different career opportunities in Data Analysis and resources for getting skilled in this domain
  • Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data

About the instructors

Interested in this course for your business or team?

Train your employees in the most in-demand topics, with edX For Business.