Unlock the full potential of your data with *The Real Work of Data Science*, a vital guide for data scientists and organizational leaders alike. Published by John Wiley & Sons in 2019, this essential resource dives deeply into the critical aspects of data science that transcend mere technical prowess. Data has emerged as *the most valuable resource* in the modern world, yet many organizations struggle to harness its true power. The expert authors, Kenett and Redman, present a framework for overcoming common challenges in the *data science process*. Gain insights into identifying and resolving data quality issues, fostering trust among decision-makers, and strategically positioning data science teams to enhance organizational effectiveness. This *data science book* emphasizes the importance of becoming a data-driven company and highlights what differentiates ordinary data scientists from exceptional ones.

As data professionals navigate computational Big Data and the evolving landscape of analytics, the wisdom in this book provides actionable strategies for maximizing data value. With 144 pages of compelling content, this practical guide is a must-have for anyone looking to excel in *data management* and achieve *data-driven decision-making*.

Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781119570707.

Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.

Condition: BRAND NEW
ISBN: 9781119570707
Year: 2019
Publisher: John Wiley & Sons (UK)
Pages: 144


Description:


The essential guide for data scientists and for leaders who must get more from their data science teams


The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellenceThe Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource."


"These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy


"I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University


"Data science is critical for competitiveness, for good government, for