Data Science Interview Guide

By Nikita DuggalLast updated on Feb 27, 20201526
ebook
  • Overview of Data Science
  • Data Science Interview Questions
  • Ways to Crack Data Science Interview
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About the Interview Guide

Harvard Business Review referred to data scientist as the “Sexiest Job of the 21st Century.” Glassdoor placed it #1 on the 25 Best Jobs in America list. According to IBM, demand for this role will soar 28 percent by 2020. It’s unwise to ignore the importance of data and our capacity to analyze, consolidate, and contextualize it. And it should come as no surprise that companies that are able to leverage massive amounts of data to improve the way they serve customers, build products, and run their operations will be positioned to thrive in this economy.

Data scientists are relied upon to fill this need, but there is a serious lack of qualified candidates worldwide. If you’re moving down the path to becoming a data scientist, you must be prepared to impress prospective employers with your knowledge. In addition to explaining why data science is so important, you’ll need to show that you're technically proficient with Big Data concepts, frameworks, and applications. 

But nothing to worry about. We have clubbed a list of the most popular questions you can expect in an interview. So prepare ahead of time, and crack your Data Science interview in the first go.

About the Author

Nikita DuggalNikita Duggal

Nikita Duggal is a passionate digital nomad with a major in English language and literature, a word connoisseur who loves writing about raging technologies, digital marketing, and career conundrums.

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