INFO 3950

Last Updated

  • Schedule of Classes - September 9, 2021 7:14PM EDT
  • Course Catalog - September 9, 2021 7:15PM EDT

INFO 3950
Data Analytics for Information Science

Course information provided by the 2020-2021 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.

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

  • 17532 INFO 3950   LEC 001

  • Instruction Mode: In Person

    Visit https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py to join the waitlist.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

    Instructor Consent Required (Add)

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17533 INFO 3950   LEC 002

    • TR Online Meeting
    • Feb 8 - May 14, 2021

    • Ginsparg, P

  • Instruction Mode: Online

    Visit https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py to join the waitlist.

    Instructor Consent Required (Add)