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
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!
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Thank YOU!
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Though of the Day…
‘ It’s what you learn after you know it all that counts.’
– John Wooden
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.