Statistics for Predictive Analytics

Fall 2024 > Management & Business > POMS.6120 > 082

Course No: POMS.6120-082; SIS Class Nbr: 8728; SIS Term: 3410
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.6010orMSBAorMSAorMSFor
  • Core Codes: NO COST
  • Credits: 3; Contact Hours: 3
  • Instructor: Xavier Babu
  • Textbook Information

When Offered & Tuition

  • Online Course
  • 2024 Fall: Oct 28 to Dec 20
  • 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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