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FOUNDATIONS OF STATISTICAL LEARNING FOR BUSINESS ANALYTICS

GENBUS 656
Course Description

An introduction to predictive modeling for business applications beginning with some of the foundations. Leads to development of linear regression and classification models, and discussion of building models for prediction. Topics include selection, regularization, and the bias-variance tradeoff.

Prerequisties

GENBUS 307 , GENBUS 317 704, 705, 881, ECON 400 , ECON 410 , MATH/STAT 310 , STAT 333 , STAT 340 , or declared in the Business Exchange program

Satisfies
Credits

2 to 3

Offered

Not Applicable

Grade Point Average
3.8

3.93% from Historical

Completion Rate
99.31%

0.02% from Historical

A Rate
73.1%

38.3% from Historical

Class Size
145

86.43% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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