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.

This repository contains the following files:

• Resources to Review
• Navigating the Interview Process
• Sample Questions
• Sample Answers

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

• [O'Reilly site (individual purchase)][0]
• [Safari Books Online (subscription)][0.1]

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

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

• 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

• 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.