Data Literacy : A User's Guide
Book Details
Format
Paperback / Softback
ISBN-10
1483333469
ISBN-13
9781483333465
Publisher
SAGE Publications Inc
Imprint
SAGE Publications Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 7th, 2015
Print length
224 Pages
Weight
278 grams
Dimensions
22.90 x 15.40 x 1.70 cms
Product Classification:
Research methods: generalData capture & analysis
Ksh 10,800.00
Manufactured on Demand
Delivery in 29 days
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A practical, skill-based introduction to data analysis and data literacy. Accompanied by a student study website.
A practical, skill-based introduction to data analysis and literacy
We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User′s Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User′s Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
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