PSCI 207: Applied Data Science
An undergraduate course that introduces students to the fundamentals of data science. The course focuses on applications in survey research, election studies, and political science. A major component of the class is learning statistical programming in R. Students lead the basics of data cleaning and management, data visualization, and web scraping.
Gov 2001: Advanced Quantitative Research Methodology
Graduate course with the purpose of outfitting students with the tools required to do quantitative research in the social sciences, as well as to develop their own new statistical methods. Topics include statistical modeling using maximum likelihood estimation, matching, and missing data imputation.
Gov2002: Causal Inference
Graduate course on the theory and implementation of causal inference methods for social science research. Topics include randomized experiments, matching, diff-in-diff, instrumental variables, regression discontinuity designs, sensitivity analysis, and causal mediation.
17.20: Introduction to the American Political Process
Undergraduate course on political institutions and behavior in the United States.
Gov1540: The American Presidency
Undergraduate course on the development and modern practice of presidential leadership in the United States.
Math (P)refresher: A Short Course on the Quantitative in Social Science
Two week course for incoming Harvard PhD students meant to review fundamental mathematical principles prior to enrolling in quantitative analysis courses. Topics discussed include derivative and integral calculus, probability, linear algebra, and optimization. Prefresher students are also introduced to statistical computing in R and typesetting in LaTeX.