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MATHEMATICAL FOUNDATIONS OF BUSINESS ANALYTICS

GENBUS 317
Course Description

Statistical inference and analyses based on models will be introduced and applied in a business context using a calculus-based focus. Topics covered include point estimation, confidence intervals, hypothesis testing, regression models, and time series models. Various methods for fitting a model to data will be explored, and uncertainty about parameter estimates will be quantified so decision makers have information about the quality of the estimates. Regression and time series models are commonly used in business analytics applications and will be used to analyze business data and make inferences and predictions.

Prerequisties
Satisfies
Credits

3

Offered

Not Applicable

Grade Point Average
3.22

-2.36% from Historical

Completion Rate
100%

No change from Historical

A Rate
31.03%

-6.9% from Historical

Class Size
29

20.83% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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