Day1 : Python Libraries & Data Preprocessing
- Numpy/matplotlib/pandas/sklearn 
- NA/Outlier detection & removal
- Dummy variables
- Scaling

Day2 : Machine Learning with Python
- Basic concepts of ML & ML process
- Linear Regression, Logistic Regression
- model evaluation