Time to completeApprox. 10 hours
Certificate of completionYes
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.
Syllabus6 lessons • 6 projects • 3 quizzes
Hands-on learningDon’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
Heart Disease Research Part IInvestigate risk factors for heart disease using descriptive statistics and hypothesis tests.
Heart Disease Research Part IIInvestigate risk factors for heart disease using descriptive statistics and hypothesis tests.
A/B Testing at Nosh Mish MoshNosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.
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