Covers OLS, categorical predictors, model diagnostics, panel methods, data wrangling, and communicating results for policy audiences; hands-on work in R.

This course introduces the foundations of the public policy process, emphasizing policy design, implementation, and evaluation through applied projects, team-based exercises, and critical thinking development.

Learn to frame policy problems, compare alternatives, and communicate evidence-based recommendations.

Course syllabus for PAI 724 – Data Driven Decision Making.