The Ultimate Data Science Interview Preparation Guide

This extensive guide contains the answers to 164 data science interview questions—from the must-know technical knowledge to role-specific approaches, behavioral questions, and brainteasers. Prepare for anything an interviewer might through at you.

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The Ultimate Insider Data Science Interview Guide

  1. Complete

    A comprehensive guide containing technical questions, how-to-answer guides, best practices, example replies, and more. 1
  2. Focused

    Helping people launch and advance successful careers as data scientists, analysts, engineers, and architects, and BI analysts. 2
  3. Expert Advice

    Advice from four versed experts who know what it takes to ace a data science interview. 3

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About The Authors

Iliya Valchanov

Iliya Valchanov

Co-Founder at 365 Data Science

Iliya co-founded 365 Data Science. He’s a finance graduate with a strong quantitative background. He has won over 90 national and international awards and competitions. Iliya started teaching while at university and continued sharing his data science expertise with aspiring professionals. He authored several 365 Data Science courses in mathematics, statistics, machine learning, and deep learning.

Ned Krastev

Ned Krastev

Co-Founder at 365 Data Science

Ned co-founded 365 Data Science. He has a bachelor’s degree in business administration and management, and a master’s in finance from Bocconi University in Milan, Italy. Ned has rich financial advisory experience, gained while working for renowned international companies, such as PwC (Italy), Coca-Cola (United Kingdom), and Infineon Technologies (Germany). He has also authored numerous career resources and courses helping aspiring professionals reach their goals.

Elitsa Kaloyanova

Elitsa Kaloyanova

Head of Data Content at 365 Data Science

Ellie is a computational biologist turned data scientist, with expertise in algorithms, data structures, phylogenetics, and population genetics. She has a solid academic background in bioinformatics with publications on constructing phylogenetic networks and trees. Elitsa has authored several 365 Data Science courses on various topics, including data visualization, customer analytics in Python, machine learning, etc.

Martin Ganchev

Martin Ganchev

Course Instructor at 365 Data Science

Martin holds an MSc in economic and social sciences from Bocconi University in Milan, Italy. His vast experience includes assisting an empirical research for Innocenzo Gasparini Institute of Economic Research and working for the DG Justice and Consumers at the European Commission. Martin has authored some of 365 Data Science’s most successful courses in Python, SQL, Excel, etc.