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Minding the Machines - Building and Leading Data Science and Analytics Teams (Paperback) Loot Price: R668
Discovery Miles 6 680
Minding the Machines - Building and Leading Data Science and Analytics Teams (Paperback): J. Adamson

Minding the Machines - Building and Leading Data Science and Analytics Teams (Paperback)

J. Adamson

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Loot Price R668 Discovery Miles 6 680 | Repayment Terms: R63 pm x 12*

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Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. In this book, you'll discover: A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics teams: start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team's overall results.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: July 2021
First published: 2021
Authors: J. Adamson
Dimensions: 229 x 154 x 13mm (L x W x T)
Format: Paperback
Pages: 240
ISBN-13: 978-1-119-78532-3
Categories: Books > Reference & Interdisciplinary > Communication studies > Data analysis
Books > Computing & IT > Applications of computing > Databases > General
LSN: 1-119-78532-4
Barcode: 9781119785323

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