Course details

Correlation & Regression

Correlation & Regression


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



Overview/Description
Predictive analytics involves widely accepted tools and techniques that enable organizations to make informed decisions regarding potential future events. Explore how correlation and regression are employed in predictive analytics.

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)
0.6

Lesson Objectives

Correlation & Regression

  • start the course
  • identify key features of correlation
  • recognize how correlation is used in predictive analytics
  • recognize when correlation indicates causation and when it doesn't
  • distinguish between statistical versus practical significance
  • recognize the role of regression in predictive analytics
  • identify how the predictive power of a model can be assessed using the r-squared metric
  • recognize key features of logistic regression
  • identify the correct regression technique to use in a given situation
  • Course Number:
    df_prma_a04_it_enus

    Expertise Level
    Everyone