This course builds on EPH 1110 by familiarizing students with the essential toolkit social scientists use to make inferences and decisions using data. The class combines careful mathematical presentation with empirical applications that are run using R. A wide range of topics in probability, statistics and regression analysis are explored, as well as methods for causal inference, model building and evaluation, experiment design, machine learning, neural nets, and cross-validation.