# Introduction

1\. Introduction to Data Science  
[https://lnkd.in/dH-7aXJD](https://lnkd.in/dH-7aXJD)

2\. IBM Data Science  
[https://lnkd.in/dn7hMA4R](https://lnkd.in/dn7hMA4R)

3\. Advanced Data Science with IBM  
[https://lnkd.in/dQTakV\_4](https://lnkd.in/dQTakV_4)

4\. Applied Data Science with Python  
[https://lnkd.in/dqAe6fEn](https://lnkd.in/dqAe6fEn)

5\. Data Science: Foundations using R  
[https://lnkd.in/duJAwgcM](https://lnkd.in/duJAwgcM)

6\. Learn SQL Basics for Data Science  
[https://lnkd.in/dfn\_Xyzk](https://lnkd.in/dfn_Xyzk)

7\. Data Science Fundamentals with Python and SQL  
[https://lnkd.in/duH-vQUq](https://lnkd.in/duH-vQUq)

8\. Advanced Statistics for Data Science  
[https://lnkd.in/d9xJWa6J](https://lnkd.in/d9xJWa6J)

9\. Mathematics for Machine Learning and Data Science  
[https://lnkd.in/dBnkzjgV](https://lnkd.in/dBnkzjgV)

10\. Genomic Data Science  
[https://lnkd.in/dD8Zq6b6](https://lnkd.in/dD8Zq6b6)

11\. Executive Data Science  
[https://lnkd.in/dK6FurUN](https://lnkd.in/dK6FurUN)

12\. Data Science with Databricks for Data Analysts  
[https://lnkd.in/dsKGGj9R](https://lnkd.in/dsKGGj9R)