HD 2940
Last Updated
- Schedule of Classes - May 19, 2024 7:32PM EDT
- Course Catalog - May 19, 2024 7:07PM EDT
Classes
HD 2940
Course Description
Course information provided by the Courses of Study 2023-2024.
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.
When Offered Spring.
Prerequisites/Corequisites Recommended prerequisite: HD 2930.
Distribution Category (SBA-HE)
- 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.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- W Savage Hall 200
- Jan 22 - May 7, 2024
Instructors
Hobbs, W
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Additional Information
Instruction Mode: In Person
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