Students are introduced to the scientific process of transforming data into insight for making better marketing decisions. Topics include: data-driven problem solving; design of surveys, focus groups, and experiments; analytical techniques for primary, secondary, and qualitative data; and machine learning basics. The course is taught as an end-to-end process, starting from problem framing, data collection, method selection, model building, and deployment. Applies Excel and open-source data analysis software. Advanced students can build on this course to prepare for taking the INFORMS CAP (Certified Analytics Professional) Exam. Prerequisite: MARK 301.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A01
(46311) |
40 |
2024-09-03 - 2024-12-09 (MWF)
10:00 - 10:50
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LECTURE A02
(46345) |
40 |
2024-09-03 - 2024-12-09 (MWF)
13:00 - 13:50
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE B02
(75849) |
40 |
2025-01-06 - 2025-04-09 (TR)
11:00 - 12:20
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