Detailed Course Information |
Spring 2023
May 13, 2025 |
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| BA 345 - Data Mining for Business Analytics |
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Designed to facilitate the understanding of how to leverage business intelligence and analytics in their organization. Examines critical areas of analytics such as text analytics, descriptive analytics, predictive analytics, and prescriptive analytics. Students learn how to apply logistic regression, association rules, tree structured classification and regression, cluster analysis, discriminant analysis, and neural networks to address critical business issues and enable/drive businesses to transform their organizations.
Prerequisite or parallel: BA 305.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Immersive Learning, Undergraduate Research, Study Abroad, Societal Issue/Global Chal Info Systems/Operatns Mangmt Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level BA 305 Minimum Grade of D- |
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