Seminar in Statistical Methods

3 credits · Graduate School

Conceptual overview of statistical methods for graduate students in the social sciences. Topics include descriptive statistics, dimensionality reduction, regression analysis, Bayesian inference, causal inference, and machine learning. Discussion of data structure and requirements, exploratory/confirmatory framing, hypothesis testing, assumptions, measures of uncertainty, and evaluation metrics. [3]