1. Introduction

2. Data

3. Techniques

4. UNIX

5. Python

6. R

7. MySQL

8. Machine Learning Introduction and Regression

9. Supervised Learning

10. Unsupervised Learning

11. Hand-On with Solving Data Problems

12. Data Collection, Experimentation, and Evaluation