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.
Open to MBA students, others with permission. Prerequisite: (OPIM 5103 or BADM 5180) or MSBAPM students. (RG 5640)
Minimum Credits: 3.00
Maximum Credits: 3.00« Back to Operations and Information Management (OPIM) Courses