This course is a workshop on logistic regression using R. The course

• Doesn't have much of theory - it is more of execution of R command for the purpose
• Provides step by step process details
• Step by step execution
• Data files for the modeling
• Excel file containing output of these steps

The content of the course is as follows

1. Data Import and Data Sanity Check
2. Development n Validation dataset preparartion  
3. Important Categorical Variable selection 
4. Important Numeric Variable Selection 
5. Indicator Variable Creation 
6. Stepwise Regression 
7. Dealing with multicollinearity
8. Logistic Regression Score n Probability generation in the data set
9. Hands on KS Calculation
10. Coefficient stability check
11. Iterate for final model