PUBPOL 5576
Statistics for Public Policy for Executives
This graduate-level course is designed for students interested in developing data analysis skills for data science related applications. This course will teach statistical analysis, probability, and basic regression analysis methods. This class will emphasize understanding how to perform and interpret basic statistical tests, interpret regression output, and approach research design in the presence of endogeneity. This course will cover both theoretical and practical issues, and problem sets will contain applications to real data and require the use of statistical software.
Topics
- Understand basic statistical data analysis using averages, standard deviation, t-statistics, and hypothesis tests.
- Use bi-variate and multivariate regression analysis techniques.
- Use dummy variables and fixed effects to analyze cross-state data.
- Use dummy variables and trend variables to analyze seasonal trends and make short-run forecasts.
Official roster learning outcomes
Sources
- Course catalogue ↗2026-2027