Intro to Quantitative Analysis
This course serves as a rigorous introduction to quantitative empirical research methods, primarily for doctoral students in political science (but also suitable for other social scientists). The material covered will include probability theory, distributions of random variables, data visualization, principles of statistical inference (estimation and uncertainty), covariate adjustment (a.k.a. linear regression), and a brief introduction to causal inference. Simulations and data analysis will be conducted in the R statistical environment or Stata.