Statistics for Predictive Analytics

Spring 2024 > Management & Business > POMS.6120 > 081

Course No: POMS.6120-081; SIS Class Nbr: 1255; SIS Term: 3330
Course Status: Registration Closed

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: Nichalin Summerfield
  • UMass Lowell Bookstore

When Offered & Tuition

  • Online Course
  • 2024 Spring: Jan 16 to Mar 10
  • Course Level: Graduate
  • Tuition: $1965 | Pay as little as $ 498.75/mo for this course.
    Learn more about course payment plans. »
  • 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

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Graduate, Online & Professional Studies reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.

Course Registration Closed

The registration period for this course has ended.

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