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10+ courses โ€” DS, DE, ML/AI
Unlimited coding submissions
4,000+ interview questions
Detailed solutions in text & video
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4,000+
Interview Questions
10+
Expert-Led Courses
700+
Coding Problems
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Community Members

Everything included

One subscription. Full access to every course, tool, and resource on the platform.

4,000+ questions

The most comprehensive question bank for data roles.

SQL, statistics, ML theory, product sense, and behavioral โ€” every category tested at top companies.

Interview Questions

4,000+ questions
Filter by title...
Companies
Topics
Title
Company
Topic
Diff
1.Customer Lifetime Value
AmazonAmazon
Machine Learning
MEDIUM
2.A/B Test Power Analysis
MetaMeta
Statistics
EASY
3.Feature Importance Ranking
GoogleGoogle
ML Theory
MEDIUM
4.Recommendation System Design
NetflixNetflix
ML Systems
HARD
ML coding engine

Write and run Python in your browser.

700+ problems with a live Python executor, test cases, and step-by-step solutions.

# Implement Mean Squared Error
import numpy as np
def mse(y_true, y_pred):
diff = y_true - y_pred
return np.mean(diff ** 2)
โœ“3/3 test cases passedยท 0.2ms
10+ courses

Structured courses for every data role.

AB testing, statistics, ML theory, product sense โ€” video lessons, problem sets, and worked examples.

AB Testing
AB Testing
82 lessons 22K
Applied Statistics
Applied Statistics
48 lessons 15K
Case In Point
Case In Point
62 lessons 25K
Product Sense
Product Sense
45 lessons 18K
SQL Mastery
SQL Mastery
100 lessons 30K
1,200+ members

Never prep alone.

Private Slack community โ€” find mock interview partners, share tips, and get support from peers and instructors.

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Trusted by thousands of candidates

Our members have landed offers at Google, Meta, Amazon, Apple, and more.

โ€œDatainterview.com was an invaluable resource for my data science job search. The curriculum is well-structured and comprehensive. If you're interviewing at top tech companies, just follow the coursework โ€” no need to look elsewhere.โ€

Daniel L.
Daniel L.
BI Engineer
Amazon

โ€œThis is a fantastic resource for anyone entering data science. The prep materials and mock interviews not only explain the questions but also teach you how to answer in a clear, structured way.โ€

Luna Huang
Luna Huang
Data Scientist
Google

โ€œDataInterview played a major role in my success. The AB testing content gave me an edge, and the case studies provided a solid foundation. The Slack community was amazing for mock interviews โ€” I did over 50!โ€

Matt E.
Matt E.
Data Scientist
Meta

โ€œDataInterview was key to landing my job at Apple. The case study course taught me how to approach cases and understand what interviewers look for. It gave me the edge I needed to turn interviews into offers.โ€

Sandeep G.
Sandeep G.
Data Scientist
Apple

โ€œDataInterview was essential for landing my Sr Data Scientist role at Meta. I performed well in multiple interviews and received several offers. Highly recommended for anyone looking to advance in data!โ€

Hank Lo
Hank Lo
Data Scientist, IC5
Meta

โ€œDataInterview is an excellent resource for DS interview prep. It covers both technical depth and product sense. The Slack channel was great for mock interviews, and my session with Dan on time series was crucial for my onsite.โ€

Gowri Thampi
Gowri Thampi
Data Scientist, Senior
Stripe

โ€œThe SQL and pipeline exercises on DataInterview matched what I saw at Meta. The practical scenarios and feedback gave me the confidence I needed to succeed in my onsite and secure the offer.โ€

A
Alex K.
Data Engineer
Meta

โ€œDatainterview provided some of the best prep for product sense interviews at a great price. It helped me land a Senior DS role at Etsy. Thanks, Dan!โ€

Matias Berretta
Matias Berretta
Data Scientist, Senior
Etsy

โ€œI took coaching and MLE bootcamp on DataInterview. The bootcamp's focus on production ML was exactly what Google wanted. I felt prepared for every technical deep dive.โ€

T
Tina Z.
ML Engineer
Google

โ€œI landed the Spotify Data Scientist offer! The case interview prep and your advice made a huge difference. Thank you for your support.โ€

K
Kierra Johnson
Data Scientist
Spotify

โ€œThe ML system design prep was a game changer for Netflix. The feedback I received helped me turn complex ideas into clear, confident answers.โ€

E
Emily C.
ML Engineer
Netflix

โ€œThe mock interviews and materials helped me prepare quickly and effectively. I felt comfortable with the interview questions and learned how to give structured answers. Great value for the investment!โ€

Mert Bay
Mert Bay
Data Science Manager
Google

Frequently asked questions

Can't find what you're looking for? Email us at contact@datainterview.com

Full access to all courses (Data Scientist, Data Engineer, ML/AI Engineer), 4,000+ interview questions with detailed solutions, unlimited coding submissions, hands-on projects, and lifetime Slack community access.

Yes. You can cancel your subscription at any time from your account page. You'll retain access until the end of your current billing period โ€” no refund needed because you're never locked in.

We cover Data Scientist, ML Engineer, AI Engineer, Data Engineer, Data Analyst, and Quantitative Analyst roles. Each role has tailored courses, question banks, and practice problems.

All courses and solutions are created by engineers who have worked at Google, Meta, Amazon, and other top tech companies. Our instructors have firsthand experience with the interview process.

A browser-based Python and SQL editor with 700+ coding problems. Write code, run it against test cases, and study step-by-step solutions โ€” all without leaving the browser.

Yes. All premium members get lifetime access to our private Slack community with 1,200+ active members. Find mock interview partners, share tips, and get support from peers and instructors.

Yes. Our platform covers SQL, statistics, ML theory, product sense, system design, and behavioral โ€” every category tested in data interviews at top companies. Many of our students have landed offers at Google, Meta, Amazon, Apple, Netflix, and more.

Both plans give you the same full access. The annual plan saves you 46% compared to monthly ($20/mo vs $37/mo). Both can be cancelled anytime.

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