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Ace The Data Science Interview: 201 Real Interview Questions Asked By Faang, Tech Startups, & Wall Street,New
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Counterfeit Warning: Do Not Buy Used Books There Is A 90% Chance The 3Rd Party Is Selling Pirated Books Filled With Typos, Missing Sql Questions, And Bad Print Quality. Only Buy New!Authored By Two Exfacebook 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. What'S Inside This 301 Page Book? 201 Real Data Science Interview Questions Asked By Facebook, Google, Amazon, Netflix, Two Sigma, Citadel And More With Detailed Stepbystep Solutions! Learn How To Break Into Data Science, With Tips On Crafting Your Resume, Creating Kickass Portfolio Projects, Sending Networking Cold Emails, And Better Telling Your Story During Behavioral Interviews Questions Cover The Most Frequentlytested Topics In Data Interviews: Probability, Statistics, Machine Learning, Sql & Database Design, Coding (Python), Product Analytics, And A/B Testing Each Chapter Has A Brief Crashcourse On The Most Important Concepts And Formulas To Review Learn How To Solve Openended Case Study Questions That Combine Productsense, Business Intuition, And Statistical Modeling Skills, And Practice With Case Interviews From Airbnb, Instagram, & Accenture Praise For Ace The Data Science Interview:'The Advice In This Book Directly Helped Me Land My Dream Job' Advitya Gemawat, Ml Engineer, Microsoftan Invaluable Resource For The Data Science & Ml Community Aishwarya Srinivasan, Senior Data Scientist, Googlegraduate Students Should Read This Book For A Structured Approach To Prep For Their Next Data Science Interview Ali Gowani, Faculty At Northwestern University (Ms In Data Science).The Authors Explain Exactly What Hiring Managers Look For A Must Read For Any Data Job Seeker Michelle Scarbrough, Former Data Analytics Manager, F500 Co.'Super Helpful Career Advice On Breaking Into Data & Landing Your First Job In The Field' Prithika Hariharan, President Of Waterloo Data Science Club; Data Science Intern, Wishfinally! Cracking The Coding Interview But For Data Science & Ml! Jack Morris, Ai Resident, Googlesolving The 201 Interview Questions Is Helpful For People In All Industries, Not Just Tech! Lars Hulstaert, Senior Data Scientist, Johnson & Johnsonabout Kevin Huo:Kevin Huo Is Currently A Data Scientist At A Hedge Fund, And Previously Was A Data Scientist At Facebook Working On Facebook Groups. He Holds A Degree In Computer Science From The University Of Pennsylvania And A Degree In Business From Wharton. In College He Interned At Facebook, Bloomberg, And On Wall Street.About Nick Singh:Nick Singh Previously Worked On Facebooks Growth Team And At Safegraph, A Geospatial Analytics Startup. Currently, He Runs Sql Interview Platform Datalemur.Com And Shares Career Tips On Linkedin To His 120,000+ Followers. Nick Holds A Degree In System Engineering With A Minor In Computer Science From The University Of Virginia. In College, He Interned At Microsoft And At Googles Nest Labs On The Data Infrastructure Team.
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- Q: How many pages does this book have? A: This book has three hundred one pages. It covers a wide range of topics essential for data science interviews.
- Q: What is the binding type of this book? A: This book is available in paperback binding. Paperback offers flexibility and ease of handling during study sessions.
- Q: What are the dimensions of the book? A: The book measures seven point zero one inches in length, zero point six eight inches in width, and ten inches in height. These dimensions make it easy to carry and fit on bookshelves.
- Q: How do I prepare for data science interviews using this book? A: You can prepare by studying the real interview questions and detailed solutions provided. The book also offers tips on resume building and networking.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners as well as experienced candidates. It covers fundamental concepts and advanced topics in data science.
- Q: What topics are covered in this book? A: The book covers topics such as Probability, Statistics, Machine Learning, SQL, Coding in Python, and A/B Testing. Each chapter provides a crash course on important concepts.
- Q: How should I store this book to keep it in good condition? A: Store this book in a cool, dry place away from direct sunlight. Keeping it on a shelf upright will help maintain its shape and condition.
- Q: Can I highlight or write in this book? A: Yes, you can highlight and write in this book. The paperback format allows for easy annotation to enhance your learning experience.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement. Most sellers have a return policy for damaged items.
- Q: Is there a warranty or guarantee for this book? A: There is no warranty for books, but check the seller's return policy for guarantees on condition upon arrival.
- Q: What age group is this book appropriate for? A: This book is appropriate for college students and professionals preparing for data science careers. It is designed for an adult audience.
- Q: How do I utilize the case study questions in the book? A: You can utilize the case study questions by practicing them in a timed setting. This helps simulate real interview conditions.
- Q: Does the book include tips for behavioral interviews? A: Yes, the book includes tips for behavioral interviews. It emphasizes storytelling techniques to effectively present your experiences.
- Q: Is this book a good resource for machine learning interviews? A: Yes, this book is an excellent resource for machine learning interviews. It includes specific questions and solutions relevant to the field.
- Q: Are there any reviews from professionals about this book? A: Yes, the book has received positive reviews from professionals in the field, including data scientists and educators praising its comprehensive approach.