Introduction to Data Mining

Prerequisite(s): INFO 257; and INFO 265 may be taken as prerequisite or corequisite. Restriction(s): Business Administration Majors, Business Analytics Majors, or Business Analytics Minors only. In this course students are introduced to analytical techniques for business decision making that are suitable for structured data. Training data, validation data, and out-of-sample validation data for model development and validation are discussed. Popular data mining techniques like decision trees, neural networks, and cluster detection are introduced. Students will use data mining software to analyze realistically large datasets to gain experience with these techniques.

Term 202440 #41224 INFO367
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Instructor
Mamonov, Stanislav Email View Faculty Courses
Meeting Times
Location: SBUS 320 (M)
@ 19:00 - 21:30
From 2024-09-04 to 2024-12-20
Enrollment

8

seats available

27

currently enrolled

35

maximum enrollment

Section Tally

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