Id: 039994
Credits Min: 3
Credits Max: 3
Description
This course introduces statistical methods and techniques for predictive analytics. This is part of the business-analytics umbrella of courses. The main focus of this course is on regression, a powerful and widely used predictive method. Topics covered include simple linear regression, multiple regression, variable selection, model diagnostics, and systems of regression equations. The course also covers classification techniques using statistical methods such as linear discriminant function and logistic regression. Spreadsheet software, such as MS Excel, and statistical software, such as SAS and R, will be heavily utilized.
Prerequisites
POMS.6010, or Matriculated MSBA, or MSA, or MSF, or MSEM, or MSEI, or GCBA, or permission of graduate business programs coordinator.
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