Sebastian Thrun
Founder and Executive Chairman, Udacity
Hypothesis Testing
Hypothesis testing is one of the most important topics in all of statistics because it tells us whether our conclusions are statistically significant. In this course, you will learn about the fundamental role statistics plays in hypothesis testing as well as how to implement statistical concepts in Python.
- Course
- Intermediate
- 21 hours
- Updated: Oct 30, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
7 skills
- Normal distribution
- A/B testing
- Experiment design
- Statistical sampling
- Pandas
Prerequisites
3 prerequisites
Prior to enrolling, you should have the following knowledge:
- Basic Python
- Basic descriptive statistics
- Basic probability
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 7 lessons
- 1 project
Program Instructors
2 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Josh Bernhard
Staff Data Scientist
Sebastian Thrun
Founder and Executive Chairman, Udacity
Josh Bernhard
Staff Data Scientist
About this program
Hypothesis testing is one of the most important topics in all of statistics because it tells us whether our conclusions are statistically significant. In this course, you will learn about the fundamental role statistics plays in hypothesis testing as well as how to implement statistical concepts in Python.
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates