Detailed Course Information |
Spring 2025
Apr 22, 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: BA 205 or CS 110 or CS 120 or CT 210 or DANA 100 or by permission of the chair
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad 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- or Undergraduate level DANA 100 Minimum Grade of D- or Undergraduate level BA 205 Minimum Grade of D- |
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