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Free resources

Free resources for data science interviews

I wrote these because the same questions keep coming up with clients, and I have grouped them by where people tend to get stuck rather than by what they are called. Everything here is free and none of it asks for your email address in exchange.

Before you apply

  • Template and guide

    The data science resume template

    I still get recruiter callbacks from cold applications, and this is the resume structure I use to do it. Every section explains what belongs there and why it is ordered that way. A long stretch covers how to write career bullets, because that is where I see the most damage by a wide margin. I have also added a note on what changed in 2026 now that almost everyone drafts their resume with AI.

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  • Guide and message template

    The networking guide

    Most applications land in a pile of several hundred, and networking is how you get out of that pile. This page has the message I send hiring managers once I have applied, and it covers who to approach first and in what order. Students get a longer version that takes months and ends with them not needing cold messages at all.

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  • Written answers and video

    Common data science career questions

    The same few questions arrive every week in comments and DMs, and whether a master’s degree is worth it is the one I get most often. I answer each of them properly on its own page rather than in a reply that only one person ever reads.

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Learning the methods

  • My walkthroughs and a reading list

    Getting started with causal inference and experimentation

    I walk through difference-in-differences, synthetic control and double machine learning, and every video has its full transcript sitting on the page underneath it. I also list four free courses and books that I recommend and earn nothing from.

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  • Video and Colab notebooks

    Short tutorials with the code for each

    I work a single method through end to end, usually because it came up with a client that week. Each one has a video and a notebook you can run in the browser.

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The interview itself

  • Challenge and walkthrough

    An AI-assisted coding challenge you can run

    The coding round now often runs with an AI assistant open, and that changes what is actually being scored. I give you one of those challenges along with the notebook to attempt it, and then work through how I would handle the same problem in the room.

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Everything here is free and complete on its own page, with no email address required.

Real data science interview questions in 2026

I coach people currently interviewing at OpenAI, DeepMind, and the big tech DS teams, so I see format changes early. When something shifts, I write it up and send it out.

No fixed schedule. I send when there’s something worth sending. Unsubscribe anytime.

When the problem is the interview itself

These are about getting into the room. The Playbook is about what happens once you are there: the case study, the coding round, the project deep dive, and the behavioral questions, at the senior and staff bar.