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STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS

GENBUS 705
Course Description

A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.

Prerequisties

Graduate/professional standing

Satisfies
Credits

3

Offered

Not Applicable

Grade Point Average
3.63

-2.07% from Historical

Completion Rate
100%

No change from Historical

A Rate
53.66%

-9.63% from Historical

Class Size
41

28.13% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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