Data Visualization and Statistical Literacy for Open and Big Data

Nonfiction, Computers, Application Software, General Computing
Cover of the book Data Visualization and Statistical Literacy for Open and Big Data by , IGI Global
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Author: ISBN: 9781522525141
Publisher: IGI Global Publication: March 20, 2017
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522525141
Publisher: IGI Global
Publication: March 20, 2017
Imprint: Information Science Reference
Language: English
Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.

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