Full DOWNLOAD Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG,
Link >> https://greatfull.fileoz.club/yupu/0578973839 =============================== COUNTERFEIT WARNING FOR US/CANADIAN/EUROPEAN CUSTOMERS: Do NOT buy Used books - there is a 90% chance the 3rd party is selling a pirated books filled with typos, missing SQL questions, and poor print quality. Only buy NEW, and make sure it says Ships From & Sold By Amazon to get the official copy. Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Scien
Link >> https://greatfull.fileoz.club/yupu/0578973839
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COUNTERFEIT WARNING FOR US/CANADIAN/EUROPEAN CUSTOMERS: Do NOT buy Used books - there is a 90% chance the 3rd party is selling a pirated books filled with typos, missing SQL questions, and poor print quality. Only buy NEW, and make sure it says Ships From & Sold By Amazon to get the official copy. Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Scien
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Ace the Data Science Interview: 201 Real Interview
Questions Asked By FAANG, Tech Startups, &Wall Street
Sinopsis :
COUNTERFEIT WARNING FOR US/CANADIAN/EUROPEAN
CUSTOMERS: Do NOT buy Used books - there is a 90%
chance the 3rd party is selling a pirated books filled with typos,
missing SQL questions, and poor print quality. Only buy NEW,
and make sure it says Ships From &Sold By Amazon to
get the official copy. 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, Two Sigma, Citadel and
more —with detailed step-by-step solutions!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
interviewsQuestions cover the most frequently-tested topics in
data interviews: Probability, Statistics, Machine Learning, SQL
&Database Design, Coding (Python), Product Analytics,
and A/B TestingEach chapter has a brief crash-course on the
most important concepts and formulas to reviewLearn how to
solve open-ended case study questions that combine productsense,
business intuition, and statistical modeling skills, and
practice with case interviews from Airbnb, Instagram,
&AccenturePraise for Ace the Data Science Interview:The
advice in this book directly helped me land my dream job
—Advitya Gemawat, ML Engineer,
Microsoft“Aninvaluable resource for the Data Science
&ML community”#8212 Aishwarya Srinivasan,
Senior Data Scientist, GoogleSuper 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“FIALLY!
Cracking the Coding Interview but for Data Science
&ML!”#8212 Jack Morris, AI Resident,
Google“oling the 201 interview questions is helpful for
people in ALL industries, not just tech!”#8212 Lars
Hulstaert, Senior Data Scientist, Johnson
&Johnson“Th authors explain exactly what hiring
managers look for —a must read for any data job
seeker”#8212 Michelle Scarbrough, Former Data
Analytics Manager, F500 Co.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 previously worked
on Facebook’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 Google’Nest Labs on the Data Infrastructure Team.