Course

Hypothesis Testing with Python

Learn how to plan, implement, and interpret different kinds of hypothesis tests in Python.

1,822 learners enrolled
  • Skill level

    Intermediate
  • Time to complete

    6 hours
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    None

About this course

In this course, you’ll learn to plan, implement, and interpret a hypothesis test in Python. Hypothesis testing is used to address questions about a population based on a subset from that population. For example, A/B testing is a framework for learning about consumer behavior based on a small sample of consumers.

This course assumes some preexisting knowledge of Python, including the NumPy and pandas libraries.

Syllabus

6 lessons • 6 projects • 3 quizzes

The platform

Hands-on learning

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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.
    Chris
    Codecademy 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.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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Frequently asked questions about Hypothesis Testing with Python

  • After drawing conclusions from data, you have to make sure it’s correct, and hypothesis testing involves using statistical methods to validate our results.

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