INFO 3950

Last Updated

  • Schedule of Classes - March 20, 2026 3:39PM EDT

INFO 3950
Data Analytics for Information Science

Course information provided by the 2026-2027 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. Lectures and problem sets will make extensive use of python programming.


Prerequisites INFO 2950 or INFO 2951 or equivalent.

Distribution Requirements (DLS-AG)

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

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17104 INFO 3950   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026

    • 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/

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