HD 2940

HD 2940

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)

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 19242 HD 2940   LEC 001

    • W Online Meeting
    • Feb 8 - May 14, 2021
    • Hobbs, W

  • Instruction Mode: Online