Data Mining
Session
Regular Academic Session
Class Number
3782
Career
Graduate Business
Units
3 units
Grading
Graded
Description
Data Mining involves the search for patterns in large quantities of data. The fundamental techniques used in data mining include, but are not limited to, clustering, decision trees, neural networks, and association analysis.

Outcomes: The student will be able to build models using an industry-standard package and interpret the results.
Enrollment Requirements
Pre-requisite: Graduate School of Business student.
Class Notes
Asynchronous Class Meeting: All instruction for this section will be delivered online asynchronously. There will be optional synchronous discussion components on Mondays from 6:00-7:00 p.m. Central Time.
Class Actions
Class Details
Instructor(s)
Ning Yang
Meets
TBA
Dates
02/13/2025 - 05/03/2025
Room
Online
Instruction Mode
Online
Campus
Online Campus
Location
Online Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
37
Seats Open
3
Class Capacity
40
Wait List Total
0
Wait List Capacity
5