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Author Morrow, Jordan, author.

Title Be data literate : the data literacy skills everyone needs to succeed / Jordan Morrow.

Publication Info. London, United Kingdom ; New York, NY : KoganPage, 2021.
Location Call No. Status
 Naper Blvd. Adult Nonfiction  006.312 MOR 2021    AVAILABLE
 Nichols Adult Nonfiction  006.312 MOR 2021    AVAILABLE
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Description xiv, 223 pages : illustrations ; 24 cm
Bibliography Includes bibliographical references and index.
Contents The world of data -- The four levels of analytics -- Defining data literacy -- The data literacy umbrella -- Reading and speaking the language of data -- Combining data literacy and the four levels of analytics -- The steps of data literacy learning -- The three Cs of data literacy -- Data informed decision-making -- Data literacy and data and analytical strategy -- Begin your data and analytics journey.
Summary "In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best technology if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With exercises to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world"-- Provided by publisher.
Subject Data mining.
Research -- Data processing.
Quantitative research.
Information literacy.
ISBN 9781789668032 (hardback)
9781789668018 (paperback)
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