Master the data science case interview
Built and reviewed by senior FAANG data scientists who have passed 50+ case interviews across leading tech companies.
Learning tracks
Start with a course
Product Analytics
Define a metric properly, then use it to work out what moved and why, on one product's real data.
20 lessons
Start learning
Experimentation
Design an A/B test, size it, and read it without fooling yourself. Twenty lessons on one platform's experiments, where the true answer is known.
20 lessons
Start learning
Advanced Experimentation
The experiment questions that separate a senior candidate from a competent one. Bayesian readouts, bandits, designs that buy precision, and measuring what a two-week test cannot see.
10 lessons
Start learningCase banks
Once you know the concepts, practise them. Searchable banks of real questions, by company and domain.
Product Sense & Metrics
How each company thinks about products, users, and what success looks like.
Product Cases
Diagnose a problem, measure success, decide launches, ML modeling and more — with senior walkthroughs.
A/B Test & Causal Inference
A/B design, interference, switchbacks, DiD, CUPED, and more — applied to real products.
Browse by company
Preparing for one company in particular? Go straight to it.
Why DataCase can help you turn interviews into offers?
Go deeper than interview prep
Most interview resources teach frameworks to memorize—we wanted something different. Every company has its own products, business model, customers, and way of thinking about metrics, so we help you understand that context first. When you're asked a question, you reason from first principles instead of trying to remember a template.
Built from how companies actually work
Every company guide starts with deep research—engineering blogs, technical talks, public writing, product launches, and conversations with people who've worked there—then it's reviewed by senior FAANG data scientists who've been through these interviews and interviewed hundreds of candidates. The goal isn't to collect trivia; it's to build the most accurate picture possible of what each company values.
Learn the “why,” not just the answer
We know many interview concepts aren't something you naturally pick up on the job—but they often show up in interviews. That's why we teach the core concepts step by step, from the ground up, with intuition, simple math, visuals, and real big tech examples. The goal is simple: when you understand why something works, you can solve new problems without memorizing answers.