The best data science interview questions book depends on whether you need broad practice, a large question bank, or programming preparation. Ace the Data Science Interview by Nick Singh and Kevin Huo is a focused choice for candidates preparing for interviews across several employer types. Kal Mishra’s book and Jack A. Schwester’s book each list more than 600 questions, while Maverick Lin’s book offers a more compact collection. Cracking the Coding Interview is the programming-focused option, rather than a data-science-specific question guide.
| Book | Best For | Question Count In Title |
|---|---|---|
| Ace the Data Science Interview | Broad interview preparation | 201 |
| Heard In Data Science Interviews | A large question-and-answer collection | 650+ |
| Ace The Data Science Interview by Jack A. Schwester | Extensive data science question practice | 600+ |
| Cracking the Coding Interview | Programming interview practice | 189 |
| Cracking the Data Science Interview | A shorter data science question set | 101+ |
Ace The Data Science Interview
Written by Nick Singh and Kevin Huo, this paperback is titled around 201 real interview questions from FAANG companies, tech startups, and Wall Street. That stated range makes it a useful pick for candidates who want a data science interview book with examples framed around multiple employer settings.
Best for: Applicants seeking a focused collection rather than a very large question bank. It was selected because its title identifies both a specific question count and varied interview contexts.
Consider: The title lists 201 questions, fewer than the two books here that advertise more than 600. Choose another option if sheer question volume is your top priority.
Heard In Data Science Interviews
Kal Mishra’s paperback describes itself as a collection of more than 650 commonly asked data science interview questions and answers. The listed question-and-answer format may suit readers who want a broad reference for reviewing many prompts and their answers in one book.
Best for: Candidates who prioritize a large stated question bank. Its title makes the scope clear and explicitly says the collection includes answers.
Consider: A high question count does not, by itself, indicate how topics are organized or how deeply each answer is explained. Check the book’s available preview if you need a particular subject or level of detail.
Ace The Data Science Interview By Schwester
Jack A. Schwester’s paperback is titled as a collection of more than 600 comprehensive data science interview questions and answers. It is a direct option for people who want extensive practice material in a single data-science-focused book.
Best for: Readers who want a high-volume collection that explicitly advertises both questions and answers. It was selected as one of the largest data-science-specific question sets among these choices.
Consider: The title’s broad scope may not tell you whether the book emphasizes a particular role or interview format. Review its contents before choosing it for specialized preparation.
Cracking The Coding Interview
Gayle Laakmann McDowell’s paperback is titled around 189 programming questions and solutions. Unlike the other selections, it is a coding interview book rather than a data science question bank. It can complement data science preparation when a role includes programming interviews.
Best for: Candidates who want a separate programming-practice resource alongside data science interview study. Its question-and-solution focus is clearly stated in the title.
Consider: Avoid choosing it as your only book if you specifically need data science interview questions; its title focuses on programming questions.
Cracking The Data Science Interview
Maverick Lin’s paperback is titled as a collection of 101 or more data science questions and solutions. Its stated size is smaller than the 600-plus-question choices, which can make it a practical option for readers looking for a more limited set of prompts.
Best for: Candidates who want a compact, data-science-specific question-and-solution book. It was selected because its title directly matches the search topic and specifies a manageable minimum count.
Consider: Its title advertises fewer questions than the larger collections. Choose a higher-count book if you want a broader set for repeated practice.
Buying Guide: How To Choose A Data Science Interview Book
Do you need breadth or a focused study plan?
Compare the stated scope with your available study time. Books advertising 600 or more questions may offer more prompts to work through, while a 101-plus or 201-question collection may be easier to use as a focused starting point. A question count does not establish depth, difficulty, or coverage, so check the contents when those factors matter.
Does the book match your interview format?
Look for a data-science-specific title if you need data science interview practice. If your target roles also include coding interviews, a programming-focused book can serve as a supplement. Do not assume that a general coding resource covers statistics, data analysis, or other data science interview topics.
Are answers and solutions important?
Some titles explicitly mention answers or solutions, while others emphasize questions. If you are studying independently, an answer-oriented resource may help you compare your response with a provided explanation. Confirm the format and contents before buying rather than inferring the depth of explanations from the title alone.
What else should you check before choosing?
- Confirm the author, edition, and format shown on the product listing.
- Use a preview, when available, to assess organization and explanation style.
- Match the book’s stated focus to the role and interview skills you need to practice.
- Use question collections for practice, and make time to explain your reasoning aloud.
Frequently Asked Questions
Which book has the most questions listed?
Heard In Data Science Interviews lists more than 650 questions. Jack A. Schwester’s book lists more than 600.
Which book is specifically about data science interviews?
The titles by Nick Singh and Kevin Huo, Kal Mishra, Jack A. Schwester, and Maverick Lin are explicitly data-science-focused.
Is Cracking the Coding Interview a data science question book?
No. Its title focuses on programming questions and solutions, so it is better treated as a coding-preparation supplement.
Which option has the smallest stated question collection?
Cracking the Data Science Interview lists 101 or more questions, the lowest stated minimum among these selections.
Should I choose a book only by question count?
No. Compare the stated subject, answer format, organization, and fit with your interview needs. A larger count does not prove that a book covers the topics or depth you require.