INFO 3950
Last Updated
- Schedule of Classes - March 17, 2025 8:55AM 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.
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)
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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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
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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