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Ace the Data Science Interview 201 Real Interview Questions Asked By FAANG
"Ace the Data Science Interview" by Nick Singh and Kevin Huo stands out as an invaluable resource for anyone aspiring to navigate the challenging landscape of data science interviews.
With a wealth of real interview questions culled from industry giants like Facebook, Google, Amazon, Netflix, Two Sigma, and Citadel, this book is a comprehensive companion for those
aiming to not just crack, but ace their interviews.
At its core, the book provides a treasure trove of 201 real interview questions, each meticulously selected to reflect the diverse and rigorous nature of interviews at top-tier tech
companies and financial institutions. The inclusion of detailed step-by-step solutions ensures that readers not only understand the solutions but also grasp the underlying concepts,
enhancing their problem-solving skills.
The authors go beyond just presenting interview questions and answers; they offer a holistic approach to preparing for a data science career. The initial sections guide readers on how
to break into the field, providing insights into crafting effective resumes, creating impressive portfolio projects, and mastering the art of networking through cold emails. The emphasis
on storytelling during behavioral interviews adds a unique dimension, helping candidates effectively communicate their journey and experiences.
The book is structured to cover the most frequently-tested topics in data science interviews, including Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python),
Product Analytics, and A/B Testing. Each chapter begins with a brief crash-course, ensuring that readers have a quick reference to essential concepts and formulas before delving into the questions.
A notable strength of the book is its coverage of open-ended case study questions, offering a holistic view of the skills needed in the field. By combining product-sense, business intuition,
and statistical modeling, the authors prepare readers to tackle complex case interviews from companies like Airbnb, Instagram, and Accenture.
In conclusion, "Ace the Data Science Interview" is not merely a compilation of questions and answers; it is a comprehensive guide that equips aspiring data scientists with the knowledge, skills,
and confidence needed to excel in interviews. Whether you're aiming for a position in a FAANG company, a tech startup, or on Wall Street, Singh and Huo's expertise and meticulous preparation
make this book an indispensable tool on your journey to mastering the data science interview process.
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