
INFINITESKILLS CRACKING THE DATA SCIENCE INTERVIEW TRAINING VIDEO TUTORIAL-kEISO
Size: 1.48 GB
Genre: eLearning | Language: English
Size: 1.48 GB
Genre: eLearning | Language: English
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CRACKING THE DATA SCIENCE ▀██▓▓▄ ░████▌ ▄ ▒▓
INTERVIEW ▀███▓░ ▐████ ▒▒
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RELEASED EXCLUSIVLY ░ ▄█▓▓▀ ▄█▀▓▓██▀ ░░
FOR SCENE USAGE ON ▒░ ▄███▀▒▀ ■░░ ▄█▀▒▒██▀ ░░ ░░
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[PUBLISHER] INFINITESKILLS ██
[RUNTIME ] 03H 00M [LINK] ██
[LEVEL ] BEGINNER [TYPE] RETAIL ██
[ISO SIZE ] 804.059.136 B [CHKS] 20F9B538 ██
[ON STORE ] 2016.03.14 [$$$$] MORE THAN YOU HAVE ██
[DISKNAME ] keiso_iscthedsi ██
[HELD BY ] JONATHAN DINU, MICHAEL TAMIR, NIR KALDERO, KATIE ██
KENT ██
██
"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 ██
Jonathan Dinu and Katie Kent direct the data science ██
program at Galvanize, Inc., a data science training ██
organization. Galvanize has campuses in San Francisco, ██
Seattle, Austin, Fort Collins, Boulder, and Denver. ██
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