INFO 3950
Last Updated
- Schedule of Classes - June 11, 2025 2:48PM EDT
Classes
INFO 3950
Course Description
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. Lectures and problem sets will make extensive use of python programming.
Distribution Requirements (DLS-AG)
Last 3 terms offered 2025SP, 2024SP, 2023SP
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 25 - Dec 8, 2025
Instructors
Ginsparg, P
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Additional Information
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/Instructor Consent Required (Add)
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