Statistics for Predictive Analytics

Catalog Search > Management & Business > POMS.6120

Course No: POMS.6120; Last Offered: Spring 2024;

Course 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 & Notes

  • Prerequisites: POMS.6010 Operations Management, or Matriculated MS Business Analytics, or Business Analytics Certificate, or matriculated MS Engineering Management, or permission of program coordinator.
  • Special Notes:
  • Credits: 3; Contact Hours: 3

Questions About This Course?

Contact the Advising Center at 978-934-2474 or Continuing_Education@uml.edu

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