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/Corequisites Prerequisite: INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.

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

Distribution Category (MQR-AS)

When Offered Spring.

Comments Note: This course may not be taken for credit after or concurrently with CS 4780 or ECE 4200.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 19352 INFO 3950   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Ginsparg, P

  • Instruction Mode: In Person

    To add yourself to the waitlist, please see 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/