Multiple Linear Regression


Why Multiple Linear Regression?

This course builds on simple linear regression by working with multiple predictor variables rather than just one. Multiple linear regression is a powerful tool for data scientists looking to analyze how multiple factors are related to an outcome. Python is used by professionals in the Data Analysis and Data Science fields as part of their daily work.

Take-Away Skills

In this course, you will learn how to make a multiple linear regression model, with more than one predictor variable in Python. In addition to learning how to make the model, you will also learn how to interpret it. This is almost more critical than making the model itself — being able to communicate the findings that you get from your model is an essential skill of a data scientist.

Codecademy courses have been taken by employees at

Google LogoFacebook LogoNASA LogoIBM LogoDropbox Logo
  1. 1
    Leverage the power of multiple variables to build predictive algorithms!

What you'll create

Portfolio projects that showcase your new skills

Pro Logo

How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

Pro Logo

— Madelyn, Pinterest

I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.

Course Description

Learn how to build and interpret linear regression models with more than one predictor variable.


Earn a certificate of completion
3 hours to complete in total