HD 2940
Last Updated
- Schedule of Classes - September 9, 2021 7:14PM EDT
- Course Catalog - September 9, 2021 7:15PM EDT
Classes
HD 2940
Course Description
Course information provided by the Courses of Study 2020-2021.
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 Online Meeting
- Feb 8 - May 14, 2021
Instructors
Hobbs, W
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Additional Information
Instruction Mode: Online
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