API 209
Advanced Quantitative Methods I: Description and Prediction
The goal of this course is to prepare students to analyze public policy issues using statistics. Topics included fall in the areas of probability theory, statistical inference, causal inference, and machine learning. While many students taking this course will have already taken courses in statistics and econometrics, this course will probably place a much stronger emphasis than typical courses on conceptually understanding the statistical methods. Since the course is targeted to first-year…
Topics
- d fall in the areas of probability theory
- statistical inference
- causal inference
- and machine learning
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings