Data science interviews exposed

by Jane You, Iris Wang, Yanping Huang

The era has come when data science is changing the world and everyone's life. Data Science Interviews Exposed is the first book in the industry that covers everything you need to know to prepare for a data science career: from job market overview to job roles description, from resume preparation to soft skill development, and most importantly, the real interview questions and detailed answers. We hope this book can help the candidates in the data science job market, as well as those who need guidance to begin a data science career.

The full list of topics are as follows:
*Introduction*
This chapter presents an overview to the data science job market and the book organization.

*Find the Right Job Roles*
Get confused about the various data science job titles? This chapter provides a detailed description for each of them, the differences among them, as well as the guidance for choosing the one that suits you the most.

*Find the Right Experience *
Don't know how to prepare yourself with the right experience to meet the job requirements and your career goals? This chapter helps you to identify the experience you need to land your dream position. It also provides suggestions for new graduates as well as candidates from a different industry who want to transfer to data science field.

*Get Ready for the Interviews*
Think you have a clear goal and have possessed all the required skill sets, but just don t know how to get job interviews? This chapter walks you through how to build good resumes and professional profiles that would bring you the right exposure to the right person -- recruiters and hiring managers.

*Polish Your Soft Skills*
Heard of your competent peers failing job interviews and want to know why? This chapter reveals the secrets that most companies don t talk about publicly -- the soft skills. What are behavior questions, why are they important, how do you prepare for them? You will find the answer here.

*Technical Interview Questions*
An interview is not a pop quiz. You should take the time to practice on real interview problems and learn their patterns. This chapter lists eight major topics that are frequently covered by data science job interviews, associated with example interview questions for each of them. All of them are either real interview questions or adapted from real interview questions:
Probability Theory
Statistical Inference
Dataset Manipulation
Product, Metrics and Analytics
Experiment Design
Coding
Machine Learning
Brain Teasers
Solutions to Technical Interview Questions
This chapter attaches the solutions and thought process for each question in the previous chapter. We hope the readers can grasp the key points behind each of them, hence be able to apply the approaches to other similar questions in the real interviews.

230 pages, Paperback

First published May 25, 2015

Reviews

[Jane Wang · Rating 2 out of 5]

The book aims to introduce data science job market, different types of data careers, how to prepare for relative experience and resume, and how to answer behavioral interview questions and technical interview questions. However, the book stays at the level of "big talks" at each section and doesn't include any deep analysis. Some answers to the technical questions might not be accurate, so just be careful to think through the questions yourself. Overall, it doesn't create much understanding on what the field really looks like and how to be really prepared for the type of jobs you choose.

[Yang Zhang · Rating 5 out of 5]

Great book. A must-read for job hunters in data sciece.