Social Statistics, or Learning from Social Data

In this course, students will learn core statistical and computational principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. We will review basic probability, and then move on to univariate inference, the linear regression model, an introduction to causal inference, and panel data. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence.

Click PDF link above for the syllabus.