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 REF-FA25/Corequisites REF-FA25 INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook. Corequisites: None.

Last 4 terms offered (None)

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 19352 INFO 3950   LEC 001

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

  • Instruction Mode: In Person

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