Hypothesis Testing with Python
StartIn 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.
Codecademy courses have been taken by employees at
- 1Find out what you’ll learn in this course and why it’s important.
- 2Learn about hypothesis testing and implement binomial and one-sample t-tests in Python.
- 3Learn about hypothesis tests that can be used to evaluate whether there is an association between two variables.
- 4Learn to design an experiment to make a decision using a hypothesis test.
- 5Practice your hypothesis testing skills with some additional projects!
What you'll create
Portfolio projects that showcase your new skills
Heart Disease Research Part I
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests.
Heart Disease Research Part II
Investigate risk factors for heart disease using descriptive statistics and hypothesis tests.
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.
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
— Madelyn, Pinterest“I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”