Every Data Science Interview Boiled Down To Five Basic Questions

Data science interviews are daunting, complicated gauntlets for many. But despite the ways they’re evolving, the technical portion of the typical data science interview tends to be pretty predictable. The questions most candidates face usually cover behavior, mathematics, statistics, coding, and scenarios. However they differ in their particulars, those questions may be easier to answer if you can identify which bucket each one falls into. Here’s a breakdown, and what you can do to prepare. 1. Behavioral Questions Similar to any other interview, these questions are meant to test for your soft skills and see if you fit in culturally with the company. Example: What have you liked and disliked about your previous position? Always explain the thought process behind your choices and the assumptions that guide them.The intent here…


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