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BUS 315 - Marketing Analytics
This course is designed to equip students with the analytical skills and tools required to make data-driven marketing decisions. The course covers key concepts in marketing data analysis, including customer segmentation, predictive modeling, and campaign performance measurement. Students will learn how to gather, interpret, and visualize data from multiple sources, as well as how to apply statistical and machine learning techniques to solve real-world marketing problems. *Prerequisite: BUS 210 and one of STAT 100 or STAT 160.* Note: Students may receive credit for one of BUS 315 or BUS 374MA. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Examination *Business Administration Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

BUS 315 - Marketing Analytics

This course is designed to equip students with the analytical skills and tools required to make data-driven marketing decisions. The course covers key concepts in marketing data analysis, including customer segmentation, predictive modeling, and campaign performance measurement. Students will learn how to gather, interpret, and visualize data from multiple sources, as well as how to apply statistical and machine learning techniques to solve real-world marketing problems. ***Prerequisite: BUS 210 and one of STAT 100 or STAT 160.*** *Note: Students may receive credit for one of BUS 315 or BUS 374MA.*
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Examination

*Business Administration Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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