Statistics & Probability for AI Interviews

The math questions actually asked at Google, Meta, and Amazon — with clear, step-by-step solutions. From probability fundamentals and Bayes' theorem to A/B testing mathematics and classic probability puzzles that interviewers love.

8
Lessons
69+
Questions
🕑
Self-Paced
100%
Free

Your Learning Path

Follow these lessons in order, or jump to any topic that interests you.

What You'll Learn

By the end of this course, you'll be able to:

📊

Solve Probability Problems

Apply Bayes' theorem, conditional probability, and combinatorics to solve interview questions step by step under pressure.

🎯

Choose the Right Distribution

Identify when to use normal, binomial, Poisson, or exponential distributions and explain your reasoning clearly.

📈

Design Rigorous Experiments

Calculate sample sizes, choose significance levels, apply power analysis, and avoid common A/B testing pitfalls.

Tackle Classic Puzzles

Solve Monty Hall, Birthday Problem, and other famous puzzles that interviewers use to test probabilistic thinking.