Course
Hypothesis Testing with Python
Learn how to plan, implement, and interpret different kinds of hypothesis tests in Python.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary6 hoursProjects
6Prerequisites
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 quizzesCertificate of completion available with Plus or Pro
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Projects in this course
- practice Project
Heart Disease Research Part I
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests. - practice Project
Heart Disease Research Part II
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests. - practice Project
A/B Testing at Nosh Mish Mosh
Nosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.
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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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Looking for something else?
Related resources
- Article
Differences Between Z-Test and T-Test
Learn the key differences between Z-Test and T-Test in hypothesis testing. Find out when to use each test based on sample size, variance, and assumptions. - Article
Software Testing Methodologies
Learn about software testing methodologies and some specific strategies that use a test-first approach to software development. - Article
Introduction to Testing with Mocha and Chai
This article provides a high-level overview of unit testing, why tests are important, and what the Mocha and Chai frameworks provide.
Related courses and paths
- Free course
Introduction to Hypothesis Testing
Learn how to run t-tests and binomial tests in this introduction to Hypothesis Testing.Beginner Friendly2 hours - Free course
Hypothesis Testing: Associations
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Hypothesis Testing: Experimental Design
Learn how to set up experiments to both address research questions and weigh the trade off between resources and errors.Beginner Friendly1 hour
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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.