This course provides graduate students with an advanced training in quantitative methods focusing on two families of models commonly used in applied political research: 1) models for categorical dependent variables, and 2) models for panel data analysis. The course takes place in a computer lab. It comprises lectures presenting the theory behind each statistical model, discussions of concrete examples based on published articles, as well as interactive sessions using the R programming language. This year's course is adapted for PhD students who already completed POL2504H (or have the equivalent background), and represents a natural continuation for students looking to use statistical methods in their own research. This course may also be suitable for MA students who received an extended training in quantitative methods at the undergraduate level and are looking for an advanced course going beyond linear regression.