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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 |