Free Data Analytics Course

This free data analytics course is designed for beginners. It features 25 learning units, all designed by an industry expert.  Inside, you’ll learn to examine key data analytics concepts via readings, videos, and a special case study.

About this free data analysis course

This free data analytics training provides a comprehensive introduction to various topics in data science and data analytics, including data visualization, machine learning, probability, statistics, and more. This is a perfect start for anyone looking to learn data analysis for free and become familiar with tools such as Python, Excel, Tableau, and more.

Learn all these critical data skills:

  • Visualization techniques and various tools that help convert structured data to powerful visuals

  • Foundations of machine learning and probability & statistics to equip learners to build data models 

  • Practical how-tos of the many data science toolkits such as Excel, Python (and various libraries), Tableau, PowerBI, and many others

  • Data visualization best practices

  • Apply all the learnings in a case study using a synthetic dataset for fraud detection in financial transactions

What you’ll learn

This free data analytics course provides a short but intensive introduction to data analytics, divided into easy-to-digest modules and a practical case study. By the end of the course, you will be familiar with many of the tools and techniques required to start analyzing data, as well as the basics of how to manipulate data, apply statistical and machine learning techniques, and visualize results.

Explore course content

  • Welcome to the Course

    Data insights have become the key driver in many business decisions that drive growth, customer retention, cost reduction, operational efficiencies, and many other levers. In this course, you will learn to think like a data analyst and get experience in tools they use daily. Units include: 

    • What to expect from this course

    • Developing a study plan

Explore course content

Why learn data analytics?

The demand for data analysts is high, and the job market is growing. However, getting hired as a data analyst can still be competitive. Employers typically look for candidates with relevant skills and experience, and a strong understanding of data analysis tools and techniques.

Become a valuable part of any organization

The techniques you will begin learning in this course will help you accurately characterize data using models and then make inferences and decisions.

Feed your passion for problem-solving

If you enjoy applying math and analytical thinking to practical problems, this course is for you.

Improve your decision-making

Being able to find trends in large datasets will help you know how to make sound decisions in all aspects of your life.

  • Professionals who value data

    Working professionals who have want to incorporate data driven projects into their line of work.

  • Someone who wants a deep dive

    Someone who has read our blog or watched tutorials and wants to dive into more specific subject matter.

  • Students who want a quick upskill

    Students who are about to graduate their secondary or post secondary education, and want to understand the basics of a new skillset quickly.

  • People who want to break into tech

    Aspiring analysts, operators, or entrepreneurs who want to transition into a tech career, but aren't sure where to start.

These companies are hiring for analytics roles:

amazonsamsung logo

Career opportunities in data analytics


Average starting salary for entry-level data analysts across the U.S.

[Indeed] September 2023


Global data market evaluation by the end of 2030, up from $30B in 2022 — which means you have a huge opportunity to land a career

[Fortune Business Insights] April 2023


Expected growth of data analytics job market in the next 10 years

[Bureau of Labor Statistics] September 2023

Ready to advance your career?

Our innovative online model will teach you how to transform data into strategic insights that make an impact in 6 months.

Frequently Asked Questions

  • Karthik Ramasubramanian

    Karthik has over a decade of practice and experience in leading data science functions in retail, FMCG, e-commerce, information technology, and hospitality sector for multi-national companies and unicorn startups. He is the author of four books on machine learning and related fields, a mentor in various online and offline platforms, and a thought leader in data science.