# MIT -  Data Science

1\. Introduction to Data Science  
[https://lnkd.in/g9pUi4qh](https://lnkd.in/g9pUi4qh)  
  
2\. IBM Data Science  
[https://lnkd.in/ghznBGs6](https://lnkd.in/ghznBGs6)  
  
3\. Advanced Data Science with IBM  
[https://lnkd.in/gXVqz3ZV](https://lnkd.in/gXVqz3ZV)  
  
4\. Applied Data Science with Python  
[https://lnkd.in/gjSAFe7d](https://lnkd.in/gjSAFe7d)  
  
5\. Data Science: Foundations using R  
[https://lnkd.in/gB5h3ghH](https://lnkd.in/gB5h3ghH)  
  
6\. Learn SQL Basics for Data Science  
[https://lnkd.in/gwx3hHgB](https://lnkd.in/gwx3hHgB)  
  
7\. Data Science Fundamentals with Python and SQL  
[https://lnkd.in/gwxnGhKZ](https://lnkd.in/gwxnGhKZ)  
  
8\. Advanced Statistics for Data Science  
[https://lnkd.in/ginqyrfa](https://lnkd.in/ginqyrfa)  
  
9\. Mathematics for Machine Learning and Data Science  
[https://lnkd.in/gPc6Snzv](https://lnkd.in/gPc6Snzv)  
  
10\. Genomic Data Science  
[https://lnkd.in/gwNTraUz](https://lnkd.in/gwNTraUz)  
  
11\. Executive Data Science  
[https://lnkd.in/gP4TXK8U](https://lnkd.in/gP4TXK8U)  
  
12\. Data Science with Databricks for Data Analysts  
[https://lnkd.in/gK5WNGz4](https://lnkd.in/gK5WNGz4)