Ace the Data Science Interview: 201 Real Interview Questions (Paperback)

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.

What's inside this 301 page book?

-201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Stripe, 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
-Each chapter has a brief crash-course on the most important concepts and formulas to review
-Learn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modelling skills, and practice with case interviews from Airbnb, Instagram, & Accenture
-Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviews

Praise for Ace the Data Science Interview:

"The advice in this book directly helped me land my dream job"

— Advitya Gemawat, ML Engineer, Microsoft

“FINALLY! Cracking the Coding Interview but for Data Science & ML!”

— Jack Morris, AI Resident, Google

"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, Wish

“An invaluable resource for the Data Science & ML community”

— Aishwarya Srinivasan, AI & ML Innovation Leader, IBM

“Solving the 201 interview questions is helpful for people in ALL industries, not just tech!”

— Lars Hulstaert, Senior Data Scientist, Johnson & Johnson

“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.

《Ace the Data Science Interview》是由兩位前Facebook員工撰寫的，是準備資料科學、資料分析和機器學習面試的最佳方式，讓您能夠在FAANG、科技初創公司或華爾街實現夢想工作。

這本301頁的書籍內容包括：
- 201道真實的資料科學面試問題，來自Facebook、Google、Amazon、Netflix、Stripe、Two Sigma、Citadel等公司，並提供詳細的逐步解答！
- 問題涵蓋資料面試中最常測試的主題：概率、統計、機器學習、SQL和資料庫設計、編程（Python）、產品分析和A/B測試。
- 每個章節都有對最重要的概念和公式的簡要複習。
- 學習如何解決結合產品感知、商業直覺和統計建模技能的開放式案例研究問題，並練習來自Airbnb、Instagram和Accenture的案例面試。
- 學習如何進入資料科學領域，包括編寫簡歷、創建出色的作品集項目、發送冷門網絡郵件以及在行為面試中更好地講述自己的故事。

《Ace the Data Science Interview》受到了以下讀者的讚揚：
- 「這本書中的建議直接幫助我實現了夢想工作」- Advitya Gemawat，微軟機器學習工程師。
- 「終於有了針對資料科學和機器學習的Cracking the Coding Interview！」- Jack Morris，Google AI實習生。
- 「對於進入資料領域並在該領域找到第一份工作的職業建議非常有幫助」- Prithika Hariharan，滑鐵盧大學資料科學俱樂部主席，Wish資料科學實習生。
- 「對於資料科學和機器學習社區來說是一個寶貴的資源」- Aishwarya Srinivasan，IBM人工智能和機器學習創新領導者。
- 「解答這201道面試問題對於所有行業的人都有幫助，不僅僅是科技行業！」- Lars Hulstaert，強生公司高級資料科學家。
- 「作者解釋了招聘經理所看重的內容，對於任何尋找資料相關工作的求職者來說都是必讀之書」- Michelle Scarbrough，前F500公司數據分析經理。

About 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 started his career as a Software Engineer on Facebook's Growth Team, and most recently, worked at SafeGraph, a geospatial analytics startup. He holds a degree in Systems Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft and Google. His career advice has been read by over 10 million people on LinkedIn.

關於Kevin Huo：

Kevin Huo目前是一家對沖基金的數據科學家，之前在Facebook擔任數據科學家，負責Facebook Groups的工作。他擁有賓夕法尼亞大學的計算機科學學位和沃頓商學院的商業學位。在大學期間，他曾在Facebook、彭博社和華爾街實習。

關於Nick Singh：

Nick Singh的職業生涯始於Facebook的增長團隊，最近在地理空間分析初創公司SafeGraph工作。他擁有維吉尼亞大學的系統工程學位，並在大學期間在微軟和谷歌實習。他在LinkedIn上的職業建議已被超過1000萬人閱讀。