Credit Hours: 3 Description: This course builds on multivariate analysis techniques as applied to business problems
by introducing students to data-driven analytics approaches to business data and decision making. Topics include data gathering and cleaning, classification techniques, dimensionality reduction, data visualization, and model selection. The course uses a hands- on approach. Prerequisite(s): ACCT 3320 or equivalent
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