POMS.4050 Predictive Data Analytics

Id: 040942 Credits: 3-3

Description

The main objective of this course is for the students to develop an understanding of the role of predictive analytics in direct support of managerial decision-making commonly referred to as data analytics, and how they relate to other types of business analytic methodologies. Topics to be covered include logistic regression, data mining,regression prediction, classification prediction, artificial neural networks, sensitivity analysis, information fusion, and combining forecasts form different models. Data analytic enabling software packages will be used including some hands-on capabilities.

Prerequisites

Pre-Req: POMS.2010 Introduction to Business Analytics, or permission of instructor.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.