Cracking the Data Science Interview Год выпуска: 03/2016 Производитель: O'Reilly Media / Infinite Skills Сайт производителя: infiniteskills.com/training/cracking-the-data-science-interview.html Автор: Jonathan Dinu, Michael Tamir, Nir Kaldero, Katie Kent Продолжительность: 3:00 Тип раздаваемого материала: Видеоклипы Язык: Английский Описание: "Wanted: Data Scientist." You've learned the concepts, you've seen the six-figure salary estimates, and now you really want the job. But there's a hurdle in the way: the job interview. Can you get one? And, once you land one, will you ace it or blow it? This video covers the nuances, misconceptions, and realities of the data science job hiring process. Presented by a team of data science educators and job placement professionals, the video uses a series of mock interviews (the software engineering technical interview, the data science theory interview, and the applied data science interview) to explain the concepts you need to know, as well as the social and behavioral aspects necessary, to successfully navigate the data science interview process. - Explore the distinctions between job titles like data scientist, data analyst, and data engineer - Discover the "Growth Hacking" technique that will help you land interviews - Understand who the stakeholders are in the hiring process - Craft a "what-people-will-remember-about-you- after-the-interview" sales pitch - Learn how to identify the data science concepts to review before the interview - Review techniques for passing the technical screen and what to do if you flub a question - Understand how to analyze salary vs. equity compensation offers "Разыскивается: Данные Ученый." Вы узнали основные понятия, вы видели шестизначную зарплату оценок, и теперь вам действительно нужна работа. Но есть препятствие в пути: собеседование при приеме на работу. Вы можете получить один? И, как только вы приземлитесь один, будете ли вы туз это или взорвать его?
Содержание
01. Introduction 0101 Introduction 0102 About The Author 0103 Overview Of C++ Best Practices Online Book 0104 Use The Correct Types And Const As Much As Possible 0105 Use The Tools Available 0106 A Note About Optimization 0107 What Are The C++ Core Guidelines 0108 How To Access Your Working Files 02. Expressions And Statements 0201 Don't Define A (C-Style) Variadic Function 0202 Prefer A Range-Based For Loop When Possible 0203 Know The Standard Library 0204 Don't Depend On Order Of Evaluation Of Function Arguments 0205 Avoid Casting 0206 Exercise 1 - Chapter 2: Simplify 0207 Exercise 2 - Chapter 2: Use Standard Algorithms 03. Expressions And Statements - 2 0301 Variable Scopes And Initialization 0302 Properly Initialize Member Variables 0303 Use Lambdas For Complex Initialization, Especially Of Const Variables 0304 Exercise 1 - Chapter 3: Clean Up Object Initialization 0305 Exercise 2 - Chapter 3: Expressions And Statements - Putting It All Together 04. Resource Management 0401 In Interfaces, Use Raw Pointers To Denote Single Objects Only 0402 Manage Resources Automatically Using Resources Handles And RAII 0403 Avoid Defining Any Default Operations, Or Define Them All 0404 Prefer Stack Objects 0405 Exercise 1 - Chapter 4: Fix Pointer Interface 0406 Exercise 2 - Chapter 4: Implement Scoped Cleanup Object 0407 Exercise 3 - Chapter 4: Consider The Rule Of 0 05. Resource Management - 2 0501 Don't Use Malloc And Free 0502 Avoid New And Delete 0503 Use unique_ptr Or shared_ptr Correctly 0504 Use std::weak_ptr To Break Cycles 0505 Exercise 1 - Chapter 5: Fix The Memory Error 1 0506 Exercise 2 - Chapter 5: Fix The Memory Error 2 06. Resource Management - 3 0601 Don't Pass Smart Pointers Unless You Need To Convey Ownership 0602 Avoid Copying Of shared_ptr 0603 Do Not Pass A Pointer Or A Reference Obtained From An Aliased Smart Pointer 0604 Use Standard Containers When Interacting With C APIs 0605 Exercise 1 - Chapter 6: Fix shared_ptr Usage 07. Conclusion 0701 Expressions And Statements Refresher 0702 Resource Management Refresher 0703 Exercise 1 - Chapter 7: Refactor 0704 Exercise 1 - Chapter 7: Refactor - Solution 0705 Next Steps - Guideline Support Library 0706 Next Steps - Contributing Back 0707 Wrap Up And Thank You
[O\'Reilly Media / Infinite Skills / Jonathan Dinu / Michael Tamir / Nir Kaldero / Katie Kent] Cracking the Data Science Interview Training Video [2016, ENG] download torrent for free and without registration
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