Carrie Grimes
Engineering Fellow (VP) at Google
A/B Testing
This course will cover the design and analysis of A/B tests, which are online experiments used throughout tech industry by companies like Google, Amazon, and Netflix.
- Course
- Beginner
- 4.6 (72)
- Updated: May 23, 2025
Free Course
A/B Testing
Skills you'll learn
1 skill
- Linear regression
Prerequisites
0 prerequisites
No prior technical experience required.
You will need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 5 lessons
Program Instructors
3 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Caroline Buckey
Software Engineer, Google
Diane Tang
Google Fellow
Carrie Grimes
Engineering Fellow (VP) at Google
Caroline Buckey
Software Engineer, Google
Diane Tang
Google Fellow
Reviews
Trustpilot reviews
Average Rating: 4.6 (72 Reviews)
5
— UTKU ALTINOKVery good course for understanding the real-world pitfalls of A/B testing. The sections on invariant metrics, units of diversion, and the multiple testing problem were especially helpful.
Oct 21, 2026
5
— Raheem Nasirudeen AdeleyeGreat course
Oct 11, 2026
4
— Addisu ShiferawOverall, I'm very satisfied with this course. The concepts are explained clearly, and the practical examples make it easy to follow along. The quizzes are helpful for reinforcing key ideas. A few explanations could be slightly more detailed, but I would still recommend it to anyone looking to build a solid foundation
Oct 2, 2026
4
— Addisu ShiferawOverall, I'm very satisfied with this course. The concepts are explained clearly, and the practical examples make it easy to follow along. The quizzes are helpful for reinforcing key ideas. A few explanations could be slightly more detailed, but I would still recommend it to anyone looking to build a solid foundation
Oct 2, 2026
5
— Akshita TeegalapallyAmazing course!
Sep 3, 2026
Showing 5 out of 72 Reviews
Free Course
A/B Testing