HD 2940

Data Science for Social Scientists II

Course Description

Course information provided by the 2020-2021 Catalog.

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.

Prerequisites/Corequisites Recommended Prerequisite: HD 2930

Outcomes

• 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.
• Implement and evaluate classifiers.

Distribution Category (SBA-HE)

When Offered Spring.

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