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Cracking the Data Science Interview

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This repository contains resources to prepare for a data science interview, as well as resources to navigate the interview process. These resources were created to supplement the O'Reilly video course: Cracking the Data Science Interview.


What is in Here

This repository contains the following files:

Video Series

The corresponding videos can be found on the following sites for purchase:


And/or please do not hesitate to reach out to me directly via email at or over twitter @clearspandex

If you would like to contribute, please fork this repository and submit a pull request

What You Will Learn

  • How to prepare for a data science interview
    • Am I ready to Apply?
    • Necessary theory background
    • Necessary coding background
    • The data science interview process
    • What role is best for me
  • Getting Interviews
    • The interview funnel
    • Better application techniques
    • Crafting your pitch
    • Reaching out and sourcing contacts
  • Journey of an Alumnus (of the Galvanize Data Science program)
  • Mock interviews
  • Negotiation for Data Scientists
    • Knowing what you are worth
    • Negotiation strategies 101
    • How to evaluate offers

Who Should Watch the Videos

  • Aspiring Data Scientists who are eager to learn what skills they need to begin applying to data science jobs.
  • Experienced Data scientists who already feel they have the requisite theory and coding background and want a structured approach to applying for their next job.


Resources for Oreilly's "Cracking the Data Science Interview" video series.



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