The Data Science Process: Learn to Think Like a Data Scientist
In 6 simple lessons, data science expert Raj Bandyopadhyay explains the structured approach used to solve data science problems.
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25 Data Science Interview Questions—With Answers
This 40-page guide includes answers to common data science interview questions from four data scientists who’ve been on both ends of the hiring process. With multiple answers to each question, you’ll learn how to craft the kind of responses that will impress hiring managers and help you land a job.
In this guide, you will:
Learn how to answer common data science interview questions from four data scientists who’ve been on both ends of the hiring process. Identify common questions about statistics, coding, and cultureLearn how the pros evaluate answers to interview questionsAbout the book
No matter the industry or the role, interviewing for a job can be stressful and awkward. Through fairly limited interactions, you’re trying to convince a bunch of strangers to hire you—to spend eight hours a day with you—instead of the dozens of other people they’ve considered.
And when you’re on the hunt for a data science role, you have the added pressure of tackling tough technical tests. Even if you’re fully confident in your skills, it’s typically a tremendously taxing experience.
The key to handling pressure and managing stress during the interview process is preparation. And this free ebook will set you up for success.
What’s inside?
To help you nail your next interview, we curated a list of 25 data science interview questions that fall into six different categories: statistics, programming, modeling, behavior, culture, and problem-solving. We then asked four data scientists currently working in the field to weigh in with direct answers and/or insights into what would make an answer stand out. For each question, there will be at least two answers, giving you different perspectives on how to construct your response.
Through 40 pages of information, you’ll learn not just how to respond to common data science interview questions, but what makes an answer stand out.
Who is this for?
Anyone who is considering working in this high-demand field (considered the “sexiest job of the 21st century” by the Harvard Business Review). Whether you’re fresh out of school or you’re a working professional looking for a new career in a skills-gap industry, this free ebook is a must-read!
About the contributors
Michael Beaumier is a data scientist at Google who previously worked in machine learning and data science at Mercedes Benz Research.
Ramkumar Hariharan is a senior machine learning scientist at macro-eyes and a mentor for Springboard’s Data Science Career Track.
Mansha Mahtani is a data scientist at Instagram who also was a data scientist at Blue Apron.
Danny Wells is a senior data scientist at the Parker Institute for Cancer Immunotherapy and a mentor for Springboard’s Data Science Career Track.
