Predictive Analytics
Session
Regular Academic Session
Class Number
3058
Career
Undergraduate
Units
3 units
Grading
Graded Alpha
Description
Students will study methods for predicting future events and properly classifying data using both supervised and unsupervised statistical learning techniques.

Prerequisite: STAT 308.

Outcomes: Learn methods for predicting and classifying; Model Selection; Evaluate the effectiveness and accuracy of a model/prediction.
Enrollment Requirements
Prerequisite: STAT 308 , C- or higher
Class Notes
MATH 338 meets with STAT 438
Class Actions
Look up course materials
Class Details
Instructor(s)
Gregory Matthews
Meets
TuTh 11:30AM - 12:45PM
Dates
08/25/2025 - 12/06/2025
Room
Cuneo Hall - Room 202
Instruction Mode
Hybrid
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
30
Seats Open
5
Combined Section Capacity
35
Wait List Total
0
Wait List Capacity
0
Combined Section
Predictive Analytics
STAT 338 - 001 (3058)
Status: Open - Enrl
Seats Taken: 18
Wait List Total: 0
Intro to Predictive Analytics
STAT 438 - 001 (4215)
Status: Closed
Seats Taken: 12
Wait List Total: 0