LibGuides: Data Science: Data science interview prep

Books & resources

There are a number of books in the Library's collection related to data science interview skills. In fact, there's a whole LibGuide devoted to Job Hunting, Internship Seeking & Discovering Your Career Path: Computing, Data Science & IT Industries with links to various books, websites, and other resources related to this topic. A few of the more popular resources are listed and linked directly below.

Build a Career in Data Science by Emily Robinson; Jacqueline Nolis
ISBN: 9781617296246
Publication Date: 2020-03-24
Build a Career in Data Science is the top guide to help readers get their first data science jobthen quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills readers need alongside their technical know-how in order to succeed in the field. Key Features: Creating a portfolio to show off your data science projects; Picking the role that's right for you; Assessing and negotiating an offer; Leaving gracefully and moving up the ladder; Interviews with professional data scientists about their experiences.
Book content is available as a physical book to check outor as HTML ebook or video playlist from O’Reilly for Higher Education.
Machine Learning Interviews
Call Number: O'Reilly e-book
ISBN: 9781098146535
Publication Date: 2023
This guide shows you how to: Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positions; Assess your interests and skills before deciding which ML role(s) to pursue; Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process; Acquire the skill set necessary for each machine learning role; Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions; Prepare for interviews in statistics and machine learning theory by studying common interview questions
Ace the data science interview by Kevin Huo, Nick Singh
ISBN: 9780578973838
Publication Date: 2022
Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Science, Data Analyst, and Machine Learning interviews, so that you can land your dream job at FAANG, tech startups, or Wall Street.
201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel and more — with detailed step-by-step solutions!
Questions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B Testing
Learn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, & Accenture

Introduction to Machine Learning Interviews Book
The book consists of two parts. The first part provides an overview of the machine learning interview process, what types of machine learning roles are available, what skills each role requires, what kinds of questions are often asked, and how to prepare for them. This part also explains the interviewers’ mindset and what kind of signals they look for. The second part consists of over 200 knowledge questions, each noted with its level of difficulty -- interviews for more senior roles should expect harder questions -- that cover important concepts and common misconceptions in machine learning. After you've finished this book, you might want to checkout the 30 open-ended questions to test your ability to put together what you know to solve practical challenges.
Crack the Data Science Interview (O'Reilly Video)
This video covers the nuances, misconceptions, and realities of the data science job hiring process. Presented by a team of data science educators and job placement professionals, the video uses a series of mock interviews (the software engineering technical interview, the data science theory interview, and the applied data science interview) to explain the concepts you need to know, as well as the social and behavioral aspects necessary, to successfully navigate the data science interview process.
DataLemur
Interactive site to practice the most common SQL, Statistics, ML, and Python questions asked in data science interviews.

Other campus support

HDSI Career Services
Career advising is available to both undergraduate and graduate data science students. You can also access all HDSI career development resources, events, and job postings through your 12Twenty Account.
UCSD Career Center
Services include advising, webinars and video content, employer events, and other online resources.