38 Free Courses on Coursera for Data Science You Must Know in 2025

Coursera is an E-Learning platform and has a wide range of Free Data Science Courses. That’s why in this article, I am going to share with you Free Courses on Coursera for Data Science.

For these courses, You don’t need to pay a single buck. So give your few minutes to this article and check out these Free Courses on Coursera for Data Science.

Note- I have divided these courses based on the knowledge level- Beginner, Intermediate, and Advanced. You can find the course according to your knowledge level.

Now without any further ado, let’s get started-

Free Courses on Coursera for Data Science

For your convenience, I have created a table from where you can filter out the course according to Rating, Time to Complete, and Provider.

NOTE- To access these listed courses for FREE, follow these steps-

• Click on the “Enroll for FREE” button on the course page.

• Provide the login details and then you will see an option “Audit the Course”. Simply click on it.

• By doing so, you can access the course material free of cost. But you will not receive a certificate. To get a certificate, you have to pay for the course. Which I think is not essential.

Let’s start with the Beginner Level Free Data Science Courses-

Beginner-Level

S/N	Course Name	Rating	Time to Complete	Provider
1.	Introduction to Statistics	4.5/5	15 hours	Stanford University
2.	Machine Learning	4.9/5	61 hours	Stanford University
3.	Foundations of Data Science: K-Means Clustering in Python	4.6/5	29 hours	University of London
4.	Data Analytics for Lean Six Sigma	4.8/5	11 hours	University of Amsterdam
5.	Computational Neuroscience	4.6/5	26 hours	University of Washington
6.	An Intuitive Introduction to Probability	4.7/5	30 hours	University of Zurich
7.	Probability and Statistics	4.6/5	16 hours	University of London
8.	Data Science Ethics	4.8/5	15 hours	University of Michigan
9.	Excel Basics for Data Visualizations	4.1/5	1 hour	Coursera community
10.	Predicting heart disease using Machine Learning	4.1/5	50 minutes	Coursera community
11.	Exploratory Time Series Analysis	4.2/5	82 minutes	Coursera community
12.	Practical Crowdsourcing for Efficient Machine Learning	3.0/5	17 hours	Yandex
13.	Population Health: Responsible Data Analysis	4.6/5	21 hours	Leiden University

Intermediate-Level

S/N	Course Name	Rating	Time to Complete	Provider
14.	Process Mining: Data science in Action	4.7/5	22 hours	Eindhoven University of Technology
15.	Bayesian Statistics: From Concept to Data Analysis	4.6/5	12 hours	UC Santa Cruz
16.	Practical Time Series Analysis	4.6/5	26 hours	The State University of New York
17.	Introduction to Embedded Machine Learning	4.8/5	17 hours	Edge Impulse
18.	Improving your statistical inferences	4.9/5	28 hours	Eindhoven University of Technology
19.	Data Science in Stratified Healthcare and Precision Medicine	4.6/5	17 hours	University of Edinburgh
20.	Machine Translation	4.5/5	27 hours	Karlsruhe Institute of Technology
21.	Computer Vision with Embedded Machine Learning	NA	31 hours	Edge Impulse
22.	Experimentation for Improvement	4.8/5	13 hours	McMaster University
23.	Power and Sample Size for Multilevel and Longitudinal Study Designs	4.4/5	24 hours	University of Florida
24.	Improving Your Statistical Questions	4.9/5	18 hours	Eindhoven University of Technology
25.	Population Health: Predictive Analytics	5.0/5	18 hours	Leiden University
26.	Global Statistics – Composite Indices for International Comparisons	4.6/5	16 hours	University of Geneva
27.	Brain Tumor Classification Using Keras	4.5/5	2 hours	Coursera community
28.	Basic Data Analysis and Model Building using Python	3.6/5	1.5 hours	Coursera community
29.	Forecasting Univariate Time Series with an LSTM	3.5/5	2 hours	Coursera community
30.	Predicting Wine Quality with Random Forest and Scikit-Learn	NA	2.5 hours	Coursera community
31.	Analyzing WhatsApp Chat Data	4.1/5	2 hours	Coursera community
32.	Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory	4.4/5	2 hours	Coursera community
33.	Hands-on Text Mining and Analytics	3.9/5	13 hours	Yonsei University
34.	Regression using Scikit-Learn	3.4/5	1.5 hours	Coursera community

Advanced-Level

S/N	Course Name	Rating	Time to Complete	Provider
35.	Causal Inference	3.3/5	12 hours	Columbia University
36.	Causal Inference 2	3.4/5	6 hours	Columbia University
37.	Data Science for Business with R Programming	4.9/5	2 hours	Coursera community
38.	Segment your market using factor analysis with R programming	NA	2 hours	Coursera community

And here the list ends. So, these are the 38 Free Courses on Coursera for Data Science. I will keep adding more free courses to this list.

Conclusion

I hope these Free Courses on Coursera for Data Science will definitely help you to enhance your data science and machine learning skills. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden