INFO 3950

INFO 3950

Course information provided by the 2025-2026 Catalog.

This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference.


Prerequisites INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.

Last 4 Terms Offered 2025FA, 2025SP, 2024SP, 2023SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  5416 INFO 3950   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ginsparg, P

  • Instruction Mode: In Person

    Please fill out this form to add yourself to the waitlist: https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/