Advanced Topics in Practical AB Testing
5.0 (25)
4 Days
·Cohort-based Course
Learn from a world-leading expert advanced topics in A/B testing. Ten topics in three days of 2 hours each. ** Warning: Advanced course *
This course is popular
6 people enrolled last week.
Advanced Topics in Practical AB Testing
5.0 (25)
4 Days
·Cohort-based Course
Learn from a world-leading expert advanced topics in A/B testing. Ten topics in three days of 2 hours each. ** Warning: Advanced course *
This course is popular
6 people enrolled last week.
Previously at
Course overview
Improve your A/B testing capabilities
We will cover advanced topics, not typically addressed in courses and books, and leave significant time to interact and answer questions.
Classes are small: usually about 15 people attending live.
The course assumes you already took https://bit.ly/ABCourseRonKohavi or have equivalent knowledge.
Who is this course for
01
Data science managers and scientists who understand the basics of A/B testing and want to better understand advanced topics
02
Program managers who want to advance their understanding of A/B testing
Prerequisites
Follow-on to flagship course
This is designed as a follow-on to the flagship course: https://maven.com/kohavi/abtesting
Statistics of A/B Testing
Good understanding of p-value misconceptions, statistical power, OEC.
What you’ll get out of this course
Review advanced topics
We will review and discuss practical advanced topics.
Click "Expand all modules" in the Course Syllabus below to see the details.
Discuss your own questions
We allocate time to discuss your own questions
** Warning: prior knowledge assumed
This course assumes you have taken https://bit.ly/ABCourseRonKohavi or have equivalent knowledge.
Advanced Topics in Practical AB Testing
Course syllabus
4 live sessions • 4 lessons
Week 1
Jun
2
Session 1
Jun
3
Session 2
Jun
5
Session 3
Session 1
Session 2
Session 3
Post-course
Jun
12
Optional: Alumni event
Optional: Alumni event
5.0 (25 ratings)
What students are saying
What people are said about the EXL 2024 workshop (precursor to this class)
Hoang Nguyen vu
Annika Thompson
Anna Malka Campiani Gimenez
A.J. Long
100% Customer Satisfaction Guarantee
Not satisfied after attending the first session and before session 2 starts? Get a full refund
Join an upcoming cohort
Advanced Topics in Practical AB Testing
2 June 2025 - Advanced AB
$1,199
Dates
Payment Deadline
Don't miss out! Enrollment closes in 5 days
Meet your instructor
Dr. Ronny Kohavi
Ronny Kohavi was an executive at Amazon, Microsoft, and Airbnb and has over 20 years of experience running A/B tests and leading experimentation teams. He loves to teach, and his papers have over 55,000 citations. He co-authored the best-selling book: Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing (with Diane Tang and Ya Xu), which is a top-10 data mining book on Amazon. He is the most viewed writer on Quora's A/B testing and received the Individual Lifetime Achievement Award for Experimentation Culture in Sept 2020.
Ronny holds a PhD in Machine Learning from Stanford University.
See more at http://www.kohavi.com
Course schedule
Six hours: 3 days x 2-hour sessions
Monday, Tuesday, and Thursday
8-10AM Pacific time
Optional Q&A
15-30 minutes after each session
Your opportunity to ask questions about the course material or anything else related to experimentation
Frequently Asked Questions
Join an upcoming cohort
Advanced Topics in Practical AB Testing
2 June 2025 - Advanced AB
$1,199
Dates
Payment Deadline
Don't miss out! Enrollment closes in 5 days
A/B Testing Myths Lightning Lesson
Many myths are based on some real limitation. The lesson reviews the claims and why they are usually myths in practice.
Recording is 35 minutes + 15 minutes of Q&A.
Example myths
Overstated effect, concurrent experiments are invalid, use pre-post analysis with few users, 95% confidence has 5% error.
Get this free resource
The ultimate guide to A/B testing: Podcast with Lenny Rachitsky
The podcast has been viewed over 50,000 times.
Get it by entering your email
Chapter 1 of Trustworthy Online Controlled Experiments: a Practical Guide to A/B Testing
Full text of Chapter 1 and table of contents for this best-selling book by the course instructor.
Get it by entering your email
100% Customer Satisfaction Guarantee