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
Intermediate