Summer 2026
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5604. Predictive Modeling
3.00 credits
Prerequisites: OPIM Python Bootcamp; Open only to MBA, MSBAPM, MS in Supply Chain Management, and MS FinTech students, others with consent. Corequisite: OPIM 5603.
Grading Basis: Graded
Introduces the techniques of predictive modeling in a data-rich business environment. Covers the process of formulating business objectives, data selection, preparation, and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications. Predictive models such as neural networks, decision trees, Bayesian classification, and others will be studied. The course emphasizes the relationship of each step to a company's specific business needs, goals and objectives. The focus on the business goal highlights how the process is both powerful and practical.
Last Refreshed: 27-MAR-26 05.21.43.004462 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1265 2117 SSP 712 | 712 | 2117 | This class will run Asynchronously from June 1st to July 31st. | Eigo, Jennifer | 16/46 | SSP | Online Asynchronous |