Course
Hypothesis Testing with Python
Learn how to plan, implement, and interpret different kinds of hypothesis tests in Python.
Start
1,663 learners enrolled
Skill level
IntermediateTime to complete
Approx. 10 hoursCertificate of completion
Included with paid plansPrerequisites
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 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
Heart Disease Research Part I
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests. - Project
Heart Disease Research Part II
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests. - 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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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.
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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.