An undergraduate-level course that introduces students of international relations to applied data science with R.
Part I: Data Mining with R
Lecture 1: Course Introduction
Lecture 2: Getting started with R, RStudio and RMarkdown
Lecture 3: Data visualization
Lecture 4: Data collections in IR
Lecture 5: Managing and shaping data
Lecture 6: Reproducible tools: Github, LaTeX
Part II: Regression
Lecture 7: Hypothesis testing
Lecture 8: Linear models
Lecture 9: Logistic models:
Lecture 10: Model evaluation
Lecture 11: Marginal effects and visualization
Part III: Application to Real Cases
Lecture 12: Case study 1: How does conflict and war affect women’s empowerment?
Lecture 13: Case study 2: Why do foreign countries support Chinese economic leadership?
Lecture 14: Case study 3: How do leaders’ business experience affect their contribution to collective defense?
Lecture 15: Advanced topics: network, spatial, and textual data
Lecture 16: Group final project presentation