Course No: POMS.4050-081; SIS Class Nbr: 13256; SIS Term: 3330
Course Status: Open
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.
Related Programs: B.S. in Business Administration
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