Cracking the Data Science Interview

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Mastering the Interview Rounds

So, at this point, you’ve explored the data science landscape, the fundamentals of programming in Python, the puzzling world of SQL queries, the wonder of data visualization and storytelling, and the productive advantages of leveraging the command line and Git. You then jumped head-first into the concepts of statistics, pre-modeling tasks, machine learning, neural networks, and model deployment. You’ve basically undergone a crash course in data science 101, covering about 99% of what you’ll encounter in data science interviews. Now what?

You’re probably wondering what to expect if you’ve never interviewed for a data science role. Well, here’s the thing: the interview process for a data science position in one ...