POL 572: Quantitative Analysis and Politics II

Semester: 

Spring

Offered: 

2021

Positive political science involves connecting our observations of the social world with causal mechanisms.  We are going to focus on a particular problem: to what extent can we used observed data to measure, discover, and test underlying causal claims?  The course will include a combination of statistical theory, hands--on data analysis,  and causal reasoning.  The goal of the course is to produce students who can understand, apply, and ultimately further quantitative political methodology.

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.

Previously offered 2014-15, 2017-2021, Spring Term.