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MKTG 606 Customer Analytics 3.0 Credits

This course is designed to give you the powerful, cutting-edge tools to leverage customer data for actionable managerial insights. The course will cover how to handle cases where there is almost no data, i.e., estimating a model on a “data diet,” and how to infer behavior when we only have summary statistics. You will develop the necessary skills by learning the basic building blocks from stochastic processes and probability distributions, such as the Binomial, Poisson, and the exponential distribution. You will also learn how to estimate these models and evaluate their predictions using Excel.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: (MKTG 601 [Min Grade: C] or MKTG 510 [Min Grade: C]) and (STAT 601 [Min Grade: C] or STAT 610 [Min Grade: C])

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