We've placed thousands of members at companies such as Google, Amazon or Facebook. Premium members are 50% more likely to land an offer that is 25% higher in compensation at top tech companies.
With Premium, you'll get full access to solutions and hints for all interview questions, as well as details on wich companies each question was asked at. You'll also get access to +30 take home challenges (with solutions and code snippets) used by companies like Uber, Airbnb, Instacart and more.
Learn everything you need to know to ace your data science and machine learning interviews. With full access to 200+ lessons and solutions, covering everything from product sense, to SQL and Python, machine learning and more.
Hands-on practice is much more effective than simply reading problem solutions. Solve a couple data science problems each day with our adaptive learning tools and advanced code editors to cement the concepts into real practice.
Join our community of data science coaches, candidates, and members as we discuss everything from interview questions, practice peer to peer mock interviews, and go over the interview process at different companies.
Understanding how to solve problems before pulling data and how to showcase analytical knowledge to empower business decisions.
These questions test how to write complex implementations of data structures and algorithms for machine learning and engineering focused roles.
SQL & Analysis
Tests data analytics, ability to pull your own data for building models, and different interpretation of datasets and metrics.
Test basic skills within coding in Python such as text parsing, reading files for writing scriptsor building features out of datasets in Pandas.
Statistics & AB Testing
Needed to understand the basics of statistics, experiment design, and how to effectively measure and implement AB tests.
Machine Learning & System Design
Understanding of how to build, deploy, and test machine learning models in production as well as how to architecting database design for scale.
A focus on testing the interpretation and validation of model building, model case studies, and showcasing an understanding of tradeoffs between technical and business decisions.
Based on understanding the principles behind many algorithms and models.
Learn step by step how to ace the data science and machine learning interview with our full course guide. We provide access to over 500+ recently asked interview questions with 200+ lessons and solutions that teach you the right way to think to pass the interview.
Get access to 30+ take-home challenges from companies like Airbnb, Doordash, Uber, Instacart, and more. We give you an upfront look with what to expect on the take-home challenge and feature example solutions with code snippets.
The full course gives you the step by step guide and frameworks on how to ace the data science interview. We thoroughly go through multiple data science concepts including product intuition, sql, machine learning, and more. Additionally our question bank provides solutions and mock interviews for over 200+ interview questions and access to over 400+ exclusive interview questions with more added every single week.
You'll also be able to access our SQL, Python and R editors for practice, recently asked interview questions with discussions and company tags, and a community of data scientists to practice peer to peer mock interviews with.