Statistics for Predictive Analytics

Course Search > Management & Accounting > POMS.6120

Course No: POMS.6120-061; SIS Class Nbr: 13804; SIS Term: 2910
Course Status: Open

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 & Instructor

  • 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:
  • Section Notes:
  • Credits: 3; Contact Hours: 3
  • Instructor: Nichalin Summerfield
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Fall 2019: Sep 04 to Nov 10
  • Course Level: Graduate
  • Tuition: $1965
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

Related Programs: M.S. in Accounting, M.S. in Business Analytics, Graduate Certificate in Business Analytics, Online MBA, M.S. in Engineering Management, Online MBA

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