3.0

Average Course Rating

This course introduces students to the fundamentals of applied statistical analysis for policy and politics. Students will learn the building blocks of exploratory data analysis and causal inference, including summary statistics, sampling, measurement, hypothesis testing, linear regression and probability theory. Students will focus on interpreting statistical findings and presenting results in a compelling manner. By the end of the course, students will be able to conduct a statistical analysis to answer a meaningful policy question and will be prepared to take more advanced methods courses. This course introduces the R programming language. Prerequisites: none