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Cracking the data science interview : what to expect and how to succeed / with Jonathan Dinu, Michael Tamir, Nir Kaldero, & Katie Kent.

By:

Dinu, Jonathan [on-screen presenter.]

Contributor(s):

Publisher: [Place of publication not identified] : O'Reilly, 2016Description: 1 online resource (1 streaming video file (2 hr., 56 min., 17 sec.)) : digital, sound, colorContent type:

two-dimensional moving image

Media type:

computer
video

Carrier type:

online resource

Subject(s):

Genre/Form:

Electronic books.

LOC classification:

HF5549.5.I6

Online resources:

Click here to access online

Presenters, Jonathan Dinu, Michael Tamir, Nir Kaldero, Katie Kent.Summary: "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."--Resource description page.

Item type:

eBooks

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Title notes ( 3 )

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Title from title screen (Safari, viewed March 29, 2016).

Presenters, Jonathan Dinu, Michael Tamir, Nir Kaldero, Katie Kent.

"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."--Resource description page.