DATA SCIENCE FOR POLITICS

This course explores techniques to harness the power of “big data” to answer questions related to political science and/or American politics. We will teach students how to use R—a popular open-source programming language—to obtain, clean, analyze, and visualize data. We will focus on applied problems using real data wherever possible, with a particular focus on R’s “Tidyverse.” In total, in this course we will cover concepts such as reading data in various formats (including “cracking” atypical government data sources and pdf documents); web scraping; data joins; data manipulation and cleaning (including string variables and regular expressions); data mining; making effective data visualizations; using data to make informed prediction, and basic text analysis. We will also cover programming basics including writing functions and loops in R. Finally, we will discuss how to use R Markdown to communicate our results effectively to outside audiences. No previous knowledge of R is required.