Course details

Process & Application

Process & Application


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/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.

Target Audience
All individuals who are new to predictive analytics and wish to use it to optimize their business performance; business leaders; analysts; marketing, sales, software, and IT professionals who want to add predictive analytics to their skill set; and decision makers of any kind

Prerequisites
None

Expected Duration (hours)
1.0

Lesson Objectives

Process & Application

  • 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
  • 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
  • recognize the type of analytics presented in examples
  • Course Number:
    df_prma_a02_it_enus

    Expertise Level
    Everyone