└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # 30+ FREE Courses for Data Science 2 | 3 | If you are looking for FREE Courses to start your journey in Data Science or brush up the concepts in vast Data Science field,then this list of courses is for you! 4 | 5 | In this repository, you will find the 90 Coursera FREE Courses on Data Science, Machine Learning, Artificial Intelligence, Python which will suit your requirement. 6 | 7 | Follow me on LinkedIn : https://www.linkedin.com/in/puspanjalisarma/ 8 | 9 | 10 | πŸ–₯️ **30+ FREE Courses for Data Science** πŸ–₯️ 11 | 12 | 13 | | **Sl.No** | **Course Name** | **Link** | **Time Duration** | **Level** | 14 | |:---: |:---: |:---: |:---: |:---: | 15 | | 1 | What is Data Science? | http://surl.li/cconu | 9 hours | Beginner | 16 | | 2 | Data Science Math Skills | http://surl.li/ccood | 13 hours | Beginner | 17 | | 3. | Introduction to Data Science in Python | http://surl.li/ccorg | 31 hours | Intermediate | 18 | | 4. | Python for Data Science, AI & Development | http://surl.li/ccorj | 22 hours | Beginner | 19 | | 5. | A Crash Course in Data Science | http://surl.li/ccorm | 7 hours | Beginner | 20 | | 6. | Machine Learning | http://surl.li/ccosj | 61 hours | Beginner | 21 | | 7. | Integral Calculus and Numerical Analysis for Data Science | http://surl.li/ccosk | 4 hours | Intermediate | 22 | | 8. | SQL for Data Science Capstone Project | http://surl.li/ccosl | 35 hours | Intermediate | 23 | | 9. | Machine Learning for All | http://surl.li/ccosn | 22 hours | Beginner | 24 | | 10. | Data Science Methodology | http://surl.li/ccosq | 8 hours | Beginner | 25 | | 11. | SQL for Data Science | http://surl.li/ccosu | 14 hours | Beginner | 26 | | 12. | Foundations: Data, Data, Everywhere | http://surl.li/ccosz | 22 hours | Beginner | 27 | | 13. | Tools for Data Science | http://surl.li/ccoth | 20 hours | Beginner | 28 | | 14. | Databases and SQL for Data Science with Python | http://surl.li/ccotn | 37 hours | Beginner | 29 | | 15. | Foundations of Data Science: K-Means Clustering in Python | http://surl.li/ccoub | 29 hours | Beginner | 30 | | 16. | Process Mining: Data science in Action | http://surl.li/ccouc | 22 hours | Intermediate | 31 | | 17. | Probability Theory: Foundation for Data Science | http://surl.li/ccoue | 48 hours | Intermediate | 32 | | 18. | Python for Genomic Data Science | http://surl.li/ccoue | 9 hours | Beginner | 33 | | 19. | Applied Data Science Capstone | http://surl.li/ccoum | 17 hours | Intermediate | 34 | | 20. | Fundamentals of Scalable Data Science | http://surl.li/ccowh | 22 hours | Beginner | 35 | | 21. | Spatial Data Science and Applications | http://surl.li/ccowi | 12 hours | Intermediate | 36 | | 22. | Introduction to R Programming for Data Science | http://surl.li/ccowk | 11 hours | Beginner | 37 | | 23. | Statistics for Data Science with Python | http://surl.li/ccowm | 14 hours | Beginner | 38 | | 24. | Data Science in Stratified Healthcare and Precision Medicine | http://surl.li/ccowq | 17 hours | Intermediate | 39 | | 25. | Data Science Ethics | http://surl.li/ccowr | 15 hours | Beginner | 40 | | 26. | Algebra and Differential Calculus for Data Science | http://surl.li/ccowu | 8 hours | Intermediate | 41 | | 27. | Essential Linear Algebra for Data Science | http://surl.li/ccoxf | 8 hours | Intermediate | 42 | | 28. | Building a Data Science Team | http://surl.li/ccoym | 6 hours | Beginner | 43 | | 29. | Command Line Tools for Genomic Data Science | http://surl.li/ccoyp | 12 hours | Beginner | 44 | | 30. | Statistics for Genomic Data Science | http://surl.li/ccoys | 9 hours | Beginner | 45 | | 31. | Materials Data Sciences and Informatics | http://surl.li/ccozz | 9 hours | Beginner | 46 | | 32. | SQL for Data Science with R | http://surl.li/ccpac | 17 hours | Beginner | 47 | | 33. | Introduction to Clinical Data Science | http://surl.li/ccpae | 8 hours | Intermediate | 48 | | 34. | Data Science Fundamentals for Data Analysts | http://surl.li/ccpah | 19 hours | Intermediate | 49 | | 35. | Statistical Inference and Hypothesis Testing in Data Science Applications | http://surl.li/ccpan | 34 hours | Intermediate | 50 | 51 | 52 | 53 | Happy Learning! πŸ‘©β€πŸ’» 54 | 55 | 56 | π˜•π˜°π˜΅π˜¦: π˜›π˜©π˜ͺ𝘴 𝘭π˜ͺ𝘴𝘡 π˜ͺ𝘴 𝘀𝘰𝘯𝘡π˜ͺ𝘯𝘢𝘰𝘢𝘴𝘭𝘺 𝘢𝘱π˜₯𝘒𝘡𝘦π˜₯. - 𝘠𝘰𝘢 𝘀𝘒𝘯 𝘡𝘒𝘬𝘦 𝘱𝘢𝘭𝘭 𝘳𝘦𝘲𝘢𝘦𝘴𝘡 𝘒𝘯π˜₯ 𝘀𝘰𝘯𝘡𝘳π˜ͺ𝘣𝘢𝘡𝘦. 𝘈𝘭𝘭 π˜“π˜ͺ𝘯𝘬𝘴 𝘒𝘳𝘦 𝘡𝘦𝘴𝘡𝘦π˜₯ 𝘒𝘯π˜₯ 𝘸𝘰𝘳𝘬π˜ͺ𝘯𝘨 𝘧π˜ͺ𝘯𝘦. π˜—π˜­π˜¦π˜’π˜΄π˜¦ let me know if any 𝘭π˜ͺ𝘯𝘬 π˜₯𝘰𝘦𝘴𝘯'𝘡 𝘸𝘰𝘳𝘬. 57 | --------------------------------------------------------------------------------