Statistics for Predictive Analytics

Fall 2023 > Management & Business > POMS.6120 > 082

Course No: POMS.6120-082; SIS Class Nbr: 12351; SIS Term: 3310
Course Status: Open Added 3/27/23

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.6010orMSBAorMSAorMSFor
  • Credits: 3; Contact Hours: 3
  • Instructor: Nichalin Summerfield
  • Textbook Information

When Offered & Tuition

  • Online Course
  • 2023 Fall: Oct 30 to Dec 22
  • Course Level: Graduate
  • Tuition: $1965
  • Note: There is a $30 per semester registration fee for credit courses.

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

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