BUILDING YOUR DATA SCIENCE TEAM

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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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