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OR_ocn945699500 |
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20231017213018.0 |
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160330s2016 xx 177 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d UAB
|d OCL
|d OCLCO
|d OCL
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|a (OCoLC)945699500
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|a CL0500000728
|b Safari Books Online
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|a HF5549.5.I6
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|a UAMI
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|a Dinu, Jonathan,
|e on-screen presenter.
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|a Cracking the data science interview :
|b what to expect and how to succeed /
|c with Jonathan Dinu, Michael Tamir, Nir Kaldero, & Katie Kent.
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|a [Place of publication not identified] :
|b O'Reilly,
|c 2016.
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300 |
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|a 1 online resource (1 streaming video file (2 hr., 56 min., 17 sec.)) :
|b digital, sound, color
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Title from title screen (Safari, viewed March 29, 2016).
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|a Presenters, Jonathan Dinu, Michael Tamir, Nir Kaldero, Katie Kent.
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|a "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.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Employment interviewing.
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650 |
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0 |
|a Information science
|x Vocational guidance.
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650 |
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0 |
|a Big data.
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650 |
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0 |
|a Data centers.
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650 |
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0 |
|a Database searching.
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650 |
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0 |
|a Electronic information resource literacy.
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650 |
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0 |
|a Data mining.
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650 |
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|a Electronic data processing.
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650 |
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|a Computation laboratories.
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650 |
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0 |
|a Data processing service centers.
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650 |
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|a Electronic data processing departments.
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650 |
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0 |
|a Querying (Computer science)
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650 |
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6 |
|a Entretiens d'embauche.
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650 |
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6 |
|a Sciences de l'information
|x Orientation professionnelle.
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650 |
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6 |
|a Données volumineuses.
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650 |
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|a Centres de traitement de l'information.
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650 |
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|a Bases de données
|x Interrogation.
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650 |
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|a Connaissances des sources d'information électroniques.
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650 |
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|a Exploration de données (Informatique)
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650 |
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7 |
|a computer centers.
|2 aat
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650 |
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|a online searching.
|2 aat
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650 |
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7 |
|a Querying (Computer science)
|2 fast
|0 (OCoLC)fst01739127
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650 |
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|a Electronic data processing departments.
|2 fast
|0 (OCoLC)fst00907078
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650 |
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7 |
|a Data processing service centers.
|2 fast
|0 (OCoLC)fst00887947
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650 |
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7 |
|a Computation laboratories.
|2 fast
|0 (OCoLC)fst00871988
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650 |
|
7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
|
650 |
|
7 |
|a Data centers.
|2 fast
|0 (OCoLC)fst00887941
|
650 |
|
7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
|
650 |
|
7 |
|a Database searching.
|2 fast
|0 (OCoLC)fst00888058
|
650 |
|
7 |
|a Electronic data processing.
|2 fast
|0 (OCoLC)fst00906956
|
650 |
|
7 |
|a Electronic information resource literacy.
|2 fast
|0 (OCoLC)fst00907290
|
650 |
|
7 |
|a Employment interviewing.
|2 fast
|0 (OCoLC)fst00909369
|
650 |
|
7 |
|a Information science
|x Vocational guidance.
|2 fast
|0 (OCoLC)fst00972682
|
700 |
1 |
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|a Tamir, Michael,
|e on-screen presenter.
|
700 |
1 |
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|a Kaldero, Nir,
|e on screen presenter.
|
700 |
1 |
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|a Kent , Katie, on-screen presenter.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781491924259/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|