STSCI 5050

Last Updated

  • Schedule of Classes - April 17, 2026 7:07PM EDT

STSCI 5050
Modern Regression Models for Data Science

Course information provided by the 2026-2027 Catalog.

This course will cover several modern regression techniques. The topics to be covered include linear regression (review), model selection, regularization methods (ridge and lasso), logistic/probit/Poisson regressions, causal inference, quantile regression, and nonparametric curve estimation. Some topics might be omitted because of time constraints. The course discusses theory and practice of those methods, but is more focused on theory.


Prerequisites STSCI 3080, STSCI 3200, STSCI 4030 or equivalents.

Last 4 Terms Offered 2025FA, 2024SP

Learning Outcomes

  • Students will be able to fit and carry out inference for various statistical models.
  • Students will be able to identify the implications and limitations of the statistical models.
  • Students will be able to identify how to select appropriate statistical models.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4050

  • 4 Credits Opt NoAud

  • 15077 STSCI 5050   LEC 001

  •  
    • MW
    • Aug 24 - Dec 7, 2026

    • Bradic, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 15078 STSCI 5050   DIS 201

  •  
    • F
    • Aug 24 - Dec 7, 2026

    • Bradic, J

  • Instruction Mode: In Person