INFO 3950

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  • Schedule of Classes - November 13, 2024 8:41AM EST
  • Course Catalog - November 12, 2024 10:26AM EST
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INFO 3950
Data Analytics for Information Science

Course information provided by the 2023-2024 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

  •  9811 INFO 3950   LEC 001

  • Instruction Mode: In Person

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