• Online, Self-Paced
Course Description

For any organization, predictive analytics is quickly becoming a key component for organizational success. Discover the application of predictive analytics to various industries, and explore the process and roles involved.

Learning Objectives

Applications of Predictive Analytics

  • start the course
  • illustrate a marketing or sales application of predictive analytics
  • illustrate a banking or insurance application of predictive analytics
  • illustrate a technology or healthcare application of predictive analytics
  • illustrate a government or academia application of predictive analytics

Predictive Analytics Process and Technology

  • list features of a predictive analytics project
  • identify project stakeholders and roles
  • identify predictive analytics project considerations
  • recognize important considerations for preparing data to build a model
  • outline the process of building and training a predictive model
  • identify key considerations and tools for predictive analytics implementation
  • recognize important considerations for model usefulness and key features of knowledge application

Practice: Identifying the Type of Analytics

  • recognize the type of analytics presented in examples

Framework Connections

Specialty Areas

  • All-Source Analysis
  • Data Administration
  • Systems Analysis
  • Systems Requirements Planning
  • Technology R&D