PSYCH 2945

PSYCH 2945

Course information provided by the Courses of Study 2024-2025.

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/PSYCH 2930 

Distribution Category (SDS-AS) (OPHLS-AG)

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.  Combined with: HD 2940

  • 3 Credits Stdnt Opt

  • 17411 PSYCH 2945   LEC 001

    • W
    • Jan 21 - May 6, 2025
    • Hobbs, W

  • Instruction Mode: In Person