Spring 2025  |  IDSC 4444 Section 001: Descriptive and Predictive Analytics (56461)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Times and Locations:
First Half of Term
 
01/21/2025 - 03/17/2025
Tue, Thu 01:45PM - 03:25PM
UMTC, West Bank
Enrollment Status:
Open (0 of 48 seats filled)
Also Offered:
Course Catalog Description:
Descriptive and Predictive Analytics exposes students to a number of data mining and machine learning methods, including: exploratory methods (such as association rules and cluster analysis), predictive methods (such as K-NN and decision trees), and text mining methods. The course combines theoretical lectures with lab lectures, where the methods are practically implemented using the software R. prereqs: IDSC 3001; non-MIS majors also need IDSC 4110
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/56461/1253

ClassInfo Links - Spring 2025 Information and Decision Sci Classes

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