Course Objectives: 

1. Gain an in-depth understanding of Data Science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing 2. Install the required Python environment and other auxiliary tools and Libraries 

3. Gain expertise in Machine Learning using the Scikit-Learn package 

4. Gain an in-depth understanding of supervised learning 

5. Use the matplotlib library of Python for data visualization 

6. Gain an in depth understanding of Deep Learning