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Book Cover
Author Smith, Gary, 1945- author.

Title The 9 pitfalls of data science / Gary Smith and Jay Cordes
Edition First edition
Published Oxford : Oxford University Press, 2019


Description 1 online resource : illustrations (black and white)
Contents Using bad data -- Putting data before theory -- Worshiping math -- Worshiping computers -- Torturing data -- Fooling yourself -- Confusing correlation with causation -- Being surprised by regression toward the mean -- Doing harm -- Case study : the Great Recession
Summary Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. 'The 9 Pitfalls of Data Science' shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession
Bibliography Includes bibliographical references and index
Audience Specialized
Notes Online resource; title from home page (viewed on August 1, 2019)
Subject Big data.
Quantitative research.
Big data.
Quantitative research.
Form Electronic book
Author Cordes, Jay, author
ISBN 9780191879937
Other Titles Nine pitfalls of data science