![[Review] Ace the Data Science Interview (Nick Singh) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2675550/c1a-085k3-www89816h13-m67fqs.jpg)
Show Notes
Ace the Data Science Interview (Nick Singh)
- Amazon USA Store: https://www.amazon.com/dp/0578973839?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Ace-the-Data-Science-Interview-Nick-Singh.html
- Apple Books: https://books.apple.com/us/audiobook/ace-the-data-science-interview-unveil-the-secret/id1741411762?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Ace+the+Data+Science+Interview+Nick+Singh+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0578973839/
#FAANGdatainterviewquestions #SQLanddatabasedesign #A/Btestingandproductanalytics #Datasciencecasestudies #Portfolioprojectdemonstration #AcetheDataScienceInterview
Ace the Data Science Interview is a practical interview-preparation guide by Nick Singh and Kevin Huo, aimed at candidates pursuing data science, data analyst, and machine learning roles. Rather than presenting data science as a purely academic discipline, the book treats interviewing as a distinct applied skill: candidates must recall technical fundamentals, write or explain solutions under constraints, and connect analysis to product and business decisions. Its central resource is a collection of 201 interview questions associated with large technology firms, startups, and finance organizations, accompanied by worked solutions and concise concept reviews. Coverage spans probability, statistics, machine learning, Python, SQL, database design, product analytics, A/B testing, case studies, and career preparation. The book also addresses the earlier stages of the hiring process, including resumes, portfolios, networking, and behavioral interviews. Its purpose is not to replace a full curriculum in statistics or machine learning. Instead, it organizes the knowledge and communication habits needed to demonstrate competence in a competitive data hiring process.
- Amazon USA Store: https://www.amazon.com/dp/0578973839?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Ace-the-Data-Science-Interview-Nick-Singh.html
- Apple Books: https://books.apple.com/us/audiobook/ace-the-data-science-interview-unveil-the-secret/id1741411762?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Ace+the+Data+Science+Interview+Nick+Singh+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0578973839/
#FAANGdatainterviewquestions #SQLanddatabasedesign #A/Btestingandproductanalytics #Datasciencecasestudies #Portfolioprojectdemonstration #AcetheDataScienceInterview
Ace the Data Science Interview is a practical interview-preparation guide by Nick Singh and Kevin Huo, aimed at candidates pursuing data science, data analyst, and machine learning roles. Rather than presenting data science as a purely academic discipline, the book treats interviewing as a distinct applied skill: candidates must recall technical fundamentals, write or explain solutions under constraints, and connect analysis to product and business decisions. Its central resource is a collection of 201 interview questions associated with large technology firms, startups, and finance organizations, accompanied by worked solutions and concise concept reviews. Coverage spans probability, statistics, machine learning, Python, SQL, database design, product analytics, A/B testing, case studies, and career preparation. The book also addresses the earlier stages of the hiring process, including resumes, portfolios, networking, and behavioral interviews. Its purpose is not to replace a full curriculum in statistics or machine learning. Instead, it organizes the knowledge and communication habits needed to demonstrate competence in a competitive data hiring process.
