Courses

1. Quantitative Analysis for Social Action and Research
2. Introduction to R programming

Course Details

Quantitative Analysis for Social Action and Research

1. Basic distributions in statistics— meaning and use for social practice
2. Overview of Inferential Statistics 
3. Exposure to basic parametric inferential statistics – t- test, Annova, Correlation
4. Exposure to basic non-parametric inferential statistics — Chi Square, contingency tables– when and why? 
5. Hands-on practice on applying the above parametric and non-parametric tests

Introduction to R programming

1. Handling and analyzing quantitative data
2. Filter data and create new variables
3. Summarize data
4. Build statistical models
5. Generate interesting and useful visualizations