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Summer 2023
Mar 28, 2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

ST 345 - Data Analytics for Business
(3). Prerequisites: ST 260 and ST 261 with grades of C or better. An introductory course of Business Analytics that includes regression techniques and model building for big data, data visualization graphics, descriptive and predictive data mining, and simulation strategies for sampling and risk analyses. This course aims to build upon the software skills learned in the Quantitative Methods/Business Statics sequence.
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Hybrid (mostly on-campus), Hybrid (mostly online), In-Person Instruction, Online (asynchronous)

Finance, Econ, & Accounting Division
Statistics Department

Course Attributes:
4-year institution


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