38 Free Courses on Coursera for Data Science You Must Know in 2024

Free Courses on Coursera for Data Science

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.
Free Courses on Coursera for Data Science
  • Provide the login details and then you will see an option “Audit the Course”. Simply click on it.
Free Courses on Coursera for Data Science
  • 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/NCourse NameRatingTime to CompleteProvider
1. Introduction to Statistics4.5/515 hoursStanford University
2. Machine Learning4.9/561 hoursStanford University
3. Foundations of Data Science: K-Means Clustering in Python4.6/529 hours University of London
4. Data Analytics for Lean Six Sigma4.8/511 hoursUniversity of Amsterdam
5.Computational Neuroscience4.6/526 hoursUniversity of Washington
6. An Intuitive Introduction to Probability4.7/530 hoursUniversity of Zurich
7. Probability and Statistics4.6/516 hoursUniversity of London
8. Data Science Ethics4.8/515 hoursUniversity of Michigan 
9. Excel Basics for Data Visualizations4.1/51 hourCoursera community
10. Predicting heart disease using Machine Learning4.1/550 minutesCoursera community
11.Exploratory Time Series Analysis4.2/582 minutesCoursera community
12.Practical Crowdsourcing for Efficient Machine Learning3.0/517 hours Yandex
13. Population Health: Responsible Data Analysis4.6/521 hoursLeiden University

Intermediate-Level

S/NCourse NameRatingTime to CompleteProvider
14. Process Mining: Data science in Action4.7/522 hoursEindhoven University of Technology
15. Bayesian Statistics: From Concept to Data Analysis4.6/512 hoursUC Santa Cruz
16. Practical Time Series Analysis4.6/526 hoursThe State University of New York
17. Introduction to Embedded Machine Learning4.8/517 hoursEdge Impulse 
18. Improving your statistical inferences4.9/528 hoursEindhoven University of Technology
19. Data Science in Stratified Healthcare and Precision Medicine4.6/517 hoursUniversity of Edinburgh
20. Machine Translation4.5/527 hoursKarlsruhe Institute of Technology
21. Computer Vision with Embedded Machine LearningNA31 hours Edge Impulse 
22.Experimentation for Improvement4.8/513 hours McMaster University
23. Power and Sample Size for Multilevel and Longitudinal Study Designs4.4/524 hoursUniversity of Florida 
24. Improving Your Statistical Questions4.9/518 hoursEindhoven University of Technology
25.Population Health: Predictive Analytics5.0/5 18 hours Leiden University
26. Global Statistics – Composite Indices for International Comparisons4.6/516 hoursUniversity of Geneva 
27. Brain Tumor Classification Using Keras4.5/52 hoursCoursera community
28.Basic Data Analysis and Model Building using Python3.6/51.5 hoursCoursera community
29. Forecasting Univariate Time Series with an LSTM3.5/52 hoursCoursera community
30. Predicting Wine Quality with Random Forest and Scikit-LearnNA2.5 hoursCoursera community
31. Analyzing WhatsApp Chat Data4.1/52 hoursCoursera community
32. Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory4.4/52 hoursCoursera community
33.Hands-on Text Mining and Analytics3.9/513 hoursYonsei University
34.Regression using Scikit-Learn3.4/51.5 hoursCoursera community

Advanced-Level

S/NCourse NameRatingTime to CompleteProvider
35.Causal Inference3.3/512 hoursColumbia University
36. Causal Inference 23.4/56 hoursColumbia University
37.Data Science for Business with R Programming4.9/52 hoursCoursera community
38.Segment your market using factor analysis with R programmingNA2 hoursCoursera 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

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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