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Linear Regression in Python

Learn how to fit, interpret, and compare linear regression models in Python.

This course includes
6,258 learners enrolled
This course includes

  • Skill level

    Intermediate

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
     
    6 hours

  • Projects

    3

  • Prerequisites

    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 quizzes

  • Certificate of completion available with Plus or Pro

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