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OReilly Media Infinite Skills Jonathan Dinu Michael Tamir Nir Kaldero Katie Kent Cracking the Data Science Interview Training Video €15 buy download

2016
O'Reilly Media / Infinite Skills
Jonathan Dinu, Michael Tamir, Nir Kaldero, Katie Kent
3:00
English

"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

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


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Download File Size:746.47 MB


OReilly Media Infinite Skills Jonathan Dinu Michael Tamir Nir Kaldero Katie Kent Cracking the Data Science Interview Training Video
€15
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