Getting ready for a data science interview can be overwhelming. From SQL and coding questions to case studies and data interpretation, there's a lot to prepare! I’ve studied and aced interviews at Meta, Amazon, and AirBnb. So trust me when I say that I’ve tried them all!
To make things easier, I’ve rounded up the five best sites to help you practice for your next data science interview.
HackerRank is a go-to for many data science and tech candidates. This platform has a vast library of challenges across various programming languages, including Python and SQL—both essential for data science roles. HackerRank’s clean layout and well-organized categories make it easy to focus on the skills you need most.
Pros: some companies will literally send you a hacker rank coding screen as a way to weed you out of candidates during the data science interview. Cons: The site lacks a discussion board and better hints so if you’re trying to go deep into SQL you're better off with other sites
DataLemur is a newer, niche platform designed specifically for data science interviews. Created by experts who understand what companies are looking for, DataLemur focuses on real-world questions that you’re likely to encounter in an actual interview. Unlike general coding platforms, DataLemur focuses solely on data science, offering interview questions that directly match the skills needed for real data science roles.
DataLemur offers a rich collection of SQL and statistics questions—the core areas tested in most data science interviews. Questions reflect real interview scenarios, such as analyzing product metrics, A/B testing, and other data science fundamentals, so you’re not just practicing coding but preparing for the types of challenges companies want you to solve. New questions are added frequently to reflect current industry standards, so you’re always practicing relevant material.
Pros: Targeted exclusively for data science; SQL and statistics questions match real interview problems; an intuitive interface that guides you through answers and feedback. Cons: Focuses primarily on SQL and statistics, which might mean looking elsewhere for general skill practice if needed.
LeetCode is a well-known platform that covers a lot of ground for anyone in tech. With a mix of data structures, algorithms, and database questions, LeetCode is a powerful resource to have on hand for data science interviews. If you’re looking for challenges that test your analytical thinking and code efficiency, LeetCode has a vast library of problems to choose from.
Pros: Active community and problem-solving discussions; effective for coding-heavy roles. Cons: problems are algorithmic and focused on tricks and puzzles rather than matching more real-world SQL workflow that data analysis and data scientists have to face - something that DataLemur excels at
Mode Analytics is mainly known as a data analytics and visualization tool, but it also offers an excellent SQL tutorial that’s super useful for data science interview prep. This platform is geared towards beginners but still has plenty of value for those looking to sharpen their SQL skills. Mode’s SQL tutorial is interactive and covers the basics of querying databases, with a focus on practical applications.
Pros: Free, easy-to-use SQL tutorials; good for strengthening SQL basics. Cons: Lacks advanced, interview-style SQL questions or broader data science topics.
Pramp is a unique platform that pairs you up with another person to practice live mock interviews. It’s a fantastic way to get real-time feedback and simulate the interview environment, especially if you’re a bit nervous about the conversational side of interviews. Getting live feedback from someone in the industry is invaluable, and Pramp offers that through their mock sessions.
Pros: Targeted exclusively for data science; SQL and statistics questions match real interview problems; an intuitive interface that guides you through answers and feedback. Cons: Focuses primarily on SQL and statistics, which might mean looking elsewhere for machine learning-specific practice if needed.
Ace the Data Science Interview is an Amazon #1 Best Seller resource combining the best of interview prep with structured learning materials. Created by industry experts, it’s designed to cover a broad spectrum of data science topics—from SQL and statistics to machine learning and case studies. Over 200+ questions spanning SQL, machine learning, statistics, and more, curated to reflect the types of questions asked by top tech companies.
Ace the Data Science Interview is an excellent complement to other platforms, offering a well-rounded bank of questions and explanations. It’s perfect for those who want a one-time purchase option for targeted, in-depth interview practice at an affordable price.
Each of these platforms has something unique to offer, but if you're looking for the most focused, practical preparation for data science interviews, DataLemur stands out as the best option. Its questions are crafted by data science experts to mirror the real interview challenges you'll face, especially with SQL and statistics—the core areas that often make or break an interview.
While HackerRank and LeetCode provide a solid foundation for technical coding skills, DataLemur goes a step further by zeroing in on exactly what data science roles require, without the distractions of general coding topics. Plus, with affordable access to premium content, it’s a powerful yet budget-friendly choice for data science candidates.
Remember, the best approach is to practice a mix of platforms to cover all your bases, but if you're looking to prioritize one platform that will prepare you specifically for data science, DataLemur is a fantastic place to start. Good luck, and happy practicing!
Start practicing today with DataLemur's free SQL Tutorial!
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