Learn the Statistics of A/B Testing

Make Sharper Data-Driven Decisions

Join 500+ experimenters to get tips, concepts & frameworks for running better experiments.

Join 500+ experimenters to get tips, concepts & frameworks for running better experiments.

Client Story

Trusted By Data Leaders

“

“Cannot recommend Ishan highly enough as a training partner. His work with The Economist has had a transformative effect on the level of skill, confidence and sophistication of our approach to experimentation”

Daragh KellyChief Data Officer The Economist Group

🏛Pilot-tested at The Economist👥60 People · Data, Product & Marketing

Our Flagship Training on A/B Testing Statistics

Built for marketers, product managers, and data leaders who want every experiment to count.

Live Classes That Go Deep

7 x 2.5-hour sessions designed to make you think like a statistician, not just learn theory.

Live Classes That Go Deep

7 x 2.5-hour sessions designed to make you think like a statistician, not just learn theory.

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Breakout Rooms That Spark Ideas

Work with peers in small groups to voice your intuitions and build clarity that lasts.

You

Learn by Playing With Data

Puzzles, games, and simulations that rewire how you think about randomness and decisions.

You

Learn by Playing With Data

Puzzles, games, and simulations that rewire how you think about randomness and decisions.

Revision That Sticks

Cheatsheets, class notes, and a peer community to make sure the learning lasts long after the sessions end.

Revision That Sticks

Cheatsheets, class notes, and a peer community to make sure the learning lasts long after the sessions end.

7

2.5-Hour Live Classes

30

Student Cohort

100%

Money Back Guarantee

Ready to master the stats of A/B testing in a live hands-on training?

Join the next live cohort

Get Started With Stat-Talks

Practical 1-hour sessions for topics in A/B Testing statistics

Dealing with High Variance Metrics

Boosting the Power of Your Tests

Featured

Simplifying Stats of A/B Testing

Making Sense of Data

Featured

3 Ways to Tune Your Sample Sizes

Set Accuracy and Visitors

Dealing with High Variance Metrics

Boosting the Power of Your Tests

Featured

Simplifying Stats of A/B Testing

Making Sense of Data

Featured

3 Ways to Tune Your Sample Sizes

Set Accuracy and Visitors

Dealing with High Variance Metrics

Boosting the Power of Your Tests

Featured

Simplifying Stats of A/B Testing

Making Sense of Data

Featured

3 Ways to Tune Your Sample Sizes

Set Accuracy and Visitors

Explore most loved StatTalks on Thinking Bell's Youtube Channel

Explore our Youtube Channel

VWO Stats Blog

Explaining the hardest parts of A/B testing stats with interesting stories and immersive cartoons.

The Frequentists, The Bayesians and The Epistemologists

Understand the two statistical ideologies from the perspective of knowledge.

Three Kinds of Metrics: The Success, The Guardrail and The Diagnostic

Augment your experiments with different types of metrics each serving a unique purpose.

Limitations of Randomized Controlled Trials

A discussion on the fundamental limitations of modern A/B tests and what to expect out of them.

Read the VWO Stats Blog

Meet Your Mentor

Ishan Goel

Built the Stats Engine at VWO

Hi! I am a statistician, a teacher and the founder of Thinking Bell.

I am known for simplifying experimentation with analogies, doodles, and games that make decisions sharper and science practical.

I have led data science research at VWO and I have authored the VWO Stats Blog. In 2025, I taught a statistics bootcamp for a team of 60 marketers, product managers and data scientists.

Join me to master experimentation with clarity, depth, and fun.