Nov 24, 2024  
2019-2020 Graduate Academic Catalog 
    
2019-2020 Graduate Academic Catalog [ARCHIVED CATALOG]

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MB 6131 - Predictive Analytics

3 lecture hours 2 lab hours 4 credits
Course Description
Within this course, students learn to identify appropriate tools and/or combinations of tools to address decision-making scenarios within an organization.  Special attention is paid to the application of analytics to predict future trends and probabilities.  Students will learn the current tools and methods for predictive analytics, as well as the limitation of these methods.  Ongoing focus is placed on communicating the interpretation of analytical results to a range of audiences. (prereq: MB 6110  or equivalent, MB 6121 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Evaluate, propose, and apply appropriate predictive analytics techniques for a given decision-making scenario
  • Illustrate the benefits of business analytics for individuals, stakeholders, and organizations
  • Develop and deliver clear and persuasive messages based on the outcomes of analytics projects

Prerequisites by Topic
  • Understanding of inferential statistics, probability, and regression
  • Data collection and wrangling, as well as data exploration in preparation for creation of analytical models

Coordinator
Dr. Katie McCarthy



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