HD 2940

HD 2940

Course information provided by the Courses of Study 2021-2022.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 11983 HD 2940   LEC 001

    • W Savage Hall 100
    • Jan 24 - May 10, 2022
    • Hobbs, W

  • Instruction Mode: In Person