This course covers statistical models useful for investigating political and social phenomena. We will address the theory and principles behind these methods, their applications, and their limitations. The course will be useful for those undertaking a quantitative thesis or wanting to have data science modeling skills for other applications. Specific models to be studied include the standard linear regression model in detail, and Generalized Linear Model forms such as logit, probit, log-linear (Poisson), Gamma, ordered choice, multinomial, tobit, and more. In addition Bayesian estimation, Monte Carlo simulation, multilevel, and nonparametric models will be covered.