HD 2940
Data Science for Social Scientists II
This is a course on applications of data science in social science using R. We will cover fundamentals of statistical and causal inference, exploratory data analysis and data reduction, supervised learning, and recent, prominent applications of machine learning in social science.
Topics
- Define a population of interest and quantity of interest, then sample, aggregate, and transform data to study them.
- Summarize and visualize text and network data.
- Conduct exploratory analyses in high-dimensional data.
- Implement and evaluate classifiers.
Official roster learning outcomes
Prerequisites & course information
Recommended prerequisite: HD 2930.
Sources
- Course catalogue ↗2026-2027