LYNDA_BUILDING_YOUR_DATA_SCIENCE_TEAM_TUTORIAL-kEISO

Section

Appz

Group

kEISO

Size

421,38 MB

Files

11

Date

2016-11-15

NFO

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    BUILDING YOUR DATA SCIENCE TEAM    ▀██▓▓▄      ░████▌ ▄              ▒▓
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    RELEASED EXCLUSIVLY     ░              ▄█▓▓▀       ▄█▀▓▓██▀            ░░
    FOR SCENE USAGE ON    ▒░             ▄███▀▒▀ ■░░ ▄█▀▒▒██▀       ░░   ░░
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   [PUBLISHER] LYNDA                                              ██
   [RUNTIME  ] 1H14M41S              [LINK] https://is.gd/Njr1R   ██
   [LEVEL    ] APPROPRIATE FOR ALL   [TYPE] RETAIL                ██
   [ISO SIZE ] 453.552.128 B         [CHKS] 594D0612              ██
   [ON STORE ] 2016.11.15            [$$$$] 200000000000 DOLLAR   ██
   [DISKNAME ] keiso_lbydst                                       ██
   [HELD BY  ] DOUG ROSE                                          ██
                                                                  ██
                                                                  ██
   More companies are adding data science teams to their          ██
   organization. To be effective, it's crucial to understand      ██
   how to build and manage these teams. Business coach and        ██
   author Doug Rose lays out the secrets of building effective    ██
   data science teams. You'll see how to take advantage of        ██
   existing talent or how you might hire new team members.        ██
   You'll also see how to train these teams to create the         ██
   unique chemistry that fosters better collaboration and         ██
   keener discussions.                                            ██
   Learn the holistic approach to building teams and deploying    ██
   data science across disciplines. Identify the key roles and    ██
   responsibilities, including research lead, data analyst,       ██
   and project manager. Find out how to define areas of           ██
   responsibility, foster effective communication, and build      ██
   compelling reports and visualizations. Then see how to         ██
   avoid the pitfalls of losing focus and arriving at false       ██
   consensus. These techniques help you build highly skilled      ██
   teams that produce deeper insights than you'll find from       ██
   relying on data scientists alone.                              ██
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░░░░ ░░▀        ▄░░▒▓░░▀▀▄▄    ░░        [POSTMORTEM]        ░░▄█▓░░░▓█▄█▓░
░▒░░ ░░▄▓░▀▀▓▓▄ ░░▒▌       ▄   [PRESSECiTRON]-[SO]-[SOUNDz]  ▄███     ▀████░
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  ▒███▄▀▄        ▀▄▀░░░░▄                           ░▄▄▀▀ ▄██▀ ▄▓░░      ▀██▓
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