Free
CourseLinear Regression in Python
Learn how to fit, interpret, and compare linear regression models in Python.
Skill level
IntermediateTime to complete
Approx. 7 hoursCertificate of completion
Included with paid plansPrerequisites
None
About this course
In this course, you’ll learn how to fit, interpret, and compare linear regression models in Python. This is useful for research questions such as:
- Can I predict how much a customer will spend at a store based on attributes such as age, income, and location?
- What is the relationship between a person’s income and other attributes such as education level and years of experience?
This course requires some prior experience with Python, including experience with Pandas and basic data manipulation, summary statistics, and hypothesis testing.
Syllabus
4 lessons • 3 projects • 3 quizzesThe platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this course
- Project
Linear Regression at Codecademy
Help us understand quiz performance on Codecademy using linear regression. - Project
Algerian Forest Fires
In this project, you will explore data on Algerian forests and run multiple linear regression models using variables including temperature, humidity, and fire risk. - Project
Craigslist Analysis
Compare linear regression models to predict housing prices on Craigslist.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Looking for something else?
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
- Course
Learn Linear Regression with R
Learn about the difference between simple linear regression and multiple linear regression in RWith CertificateIntermediate3 hours - Free course
Multiple Linear Regression
Learn how to build and interpret linear regression models with more than one predictor variable.Beginner Friendly3 hours - Free course
How to Choose a Linear Regression Model
Learn about the differences between different regression models and how to decide which one to use.Intermediate1 hour
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Unlock additional features with a paid plan
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.