PUBPOL 5576

Statistics for Public Policy for Executives

Course Description

Course information provided by the 2026-2027 Catalog.

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.

Enrollment Information Enrollment limited to: Executive Master of Science in Data Science for Public Policy (EMSDSP) students.

Last 4 Terms Offered (None)

Learning Outcomes

• 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.

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