95-866 Advanced Business Analytics

6 units, Carnegie Mellon University

In this course, we will be studying useful probability/statistical models that can be applied in business practice to perform consumer behavior analysis. In particular, we will focus on three key aspects of user (or product) behavior: timing processes, counting processes, and choice processes. The first will focus on the timing of a user doing something (when a user will churn from a firm, when a product will drop out of bestseller list, when a user will adopt a new product, and so on). The second will focus on how many items are purchased or how many users are adopting and so on. The third focuses on which product is chosen out of a number of choices. With each lecture, we will be using real world datasets to apply the learning in lectures to a practical problem facing a manager. Students will store datasets and retrieve the relevant information before any analysis can be performed.

Prerequisites: none listed

Offered: Fall 2026, Spring 2026, Fall 2025

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