Intro to Data Science for Political Science

3325G - Undergraduate Class

 Course Description

The objective of this course is to provide undergraduate students with the necessary statistical tools to make inferences about politics. The ability to quickly and accurately find, collect, manage, and analyze data is now a fundamental skill for quantitative social science researchers. We will cover fundamentals of data analytics and visualization using the statistical programming language R. These topics will be discussed with an eye on applications to research questions in all subfields of political science. Leaving this course, students will be able to acquire, format, analyze, and visualize various types of data.

Office Hours

You can make an office hours appointment here: https://calendly.com/e_brie.

Laboratory

The following laboratory material below is provided to facilitate your learning in this class. Please do not share it without my permission. All slides for the theory portion of the class are available on OWL.


Week 1 - Inputting and Manipulating Data
Week 2 - Merging, subsetting and manipulating data
Week 3 - Creating Variables and Basic Statistics

Week 4 - Data Visualization (.R scripts available on OWL)

Week 5 - Simple Linear Regression

Week 6 - Midterm Exam

Week 7 - Spring Break

Week 8 - Randomized Experiments
Week 9 - Text Analysis
Week 10 - Distributions
Week 11 - P-Values
Week 12 - Spatial Data

Week 13 - Web Scraping (.R scripts available on OWL)