Free
CourseMultiple Linear Regression
Learn how to build and interpret linear regression models with more than one predictor variable.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursProjects
1Prerequisites
None
About this course
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.
Syllabus
Multiple Linear Regression
Leverage the power of multiple variables to build predictive algorithms!
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Related resources
- Article
Introduction to Regression Analysis
This article is a brief introduction to the formal theory (otherwise known as Math) behind regression analysis. - Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
Log Transformations (And More)
Learn when to use a log transformation of the dependent variable of your linear regression and how to interpret the resulting regression equation.
Related courses and paths
- Free course
Linear Regression in Python
Learn how to fit, interpret, and compare linear regression models in Python.Intermediate6 hours - Free course
Simple Linear Regression
Learn how to fit and interpret linear regression with a single predictor variableBeginner Friendly2 hours - Course
Learn Linear Regression with R
Learn about the difference between simple linear regression and multiple linear regression in RWith CertificateIntermediate3 hours
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