The Real Work of Data Science

Turning data into information, better decisions, and stronger organizations

Nonfiction, Science & Nature, Science, Other Sciences, Experiments & Projects, Business & Finance, Economics, Statistics, Mathematics
Cover of the book The Real Work of Data Science by Ron S. Kenett, Thomas C. Redman, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ron S. Kenett, Thomas C. Redman ISBN: 9781119570769
Publisher: Wiley Publication: April 1, 2019
Imprint: Wiley Language: English
Author: Ron S. Kenett, Thomas C. Redman
ISBN: 9781119570769
Publisher: Wiley
Publication: April 1, 2019
Imprint: Wiley
Language: English

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 excellence. The 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 correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers."
—A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 excellence. The 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 correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers."
—A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

More books from Wiley

Cover of the book Veterans and Active Duty Military Psychotherapy Homework Planner by Ron S. Kenett, Thomas C. Redman
Cover of the book Pension Ponzi by Ron S. Kenett, Thomas C. Redman
Cover of the book Confessions of a Subprime Lender by Ron S. Kenett, Thomas C. Redman
Cover of the book Genomes, Evolution, and Culture by Ron S. Kenett, Thomas C. Redman
Cover of the book Techniques for Virtual Palaeontology, Enhanced Edition by Ron S. Kenett, Thomas C. Redman
Cover of the book Handbook of Nanotoxicology, Nanomedicine and Stem Cell Use in Toxicology by Ron S. Kenett, Thomas C. Redman
Cover of the book Hybrid Systems Based on Solid Oxide Fuel Cells by Ron S. Kenett, Thomas C. Redman
Cover of the book Project Risk Management by Ron S. Kenett, Thomas C. Redman
Cover of the book Unleashing the Power of IT by Ron S. Kenett, Thomas C. Redman
Cover of the book Das Little Black Book der Salate und Dressings by Ron S. Kenett, Thomas C. Redman
Cover of the book Nanoelectronics by Ron S. Kenett, Thomas C. Redman
Cover of the book Tough Choices or Tough Times by Ron S. Kenett, Thomas C. Redman
Cover of the book Exploring Leadership by Ron S. Kenett, Thomas C. Redman
Cover of the book Forensic Psychology by Ron S. Kenett, Thomas C. Redman
Cover of the book Clinical Trials Handbook by Ron S. Kenett, Thomas C. Redman
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy