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Introduction to Data Analytics and the Social Sciences (with Dr. Shahryar Minhas; Summer 2025, Summer 2026)

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Data analytics is a growing field that draws on many disciplines including Statistics, Computer Science, and Graphic Design. This course will provide an introduction to modern data analytics, with a focus on practical skills for social science research. The main goal of this course is to introduce R, a programming language designed specifically for statistics and data analysis. The course will cover basic programming concepts such as functions and data structures, as well as tools for data analysis and visualization. We will also cover methods for uncovering relationships in data, starting simple with cross-tabulations and correlations, before moving into more advanced topics like regression and linear models that are seen in most published pieces of scientific research.

Quantitative Techniques in Public Policy and Political Science I: Linear Regression Analysis (Fall 2026)
Quantitative Techniques in Public Policy and Political Science II: Causal Inference (Spring 2025)
Departmental Methods Workshop Series (Spring 2025, Fall 2026)
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- Advanced Data Cleaning and Visualization
- How to Replicate a Paper in Political Science?
- Introduction to Python and Web Scraping
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- Research Organization and Reference Management
- Data Wrangling and Research Workflow in R
- AI-assisted Coding and Debugging in R