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Statistics (The Easier Way) With R: an informal text on applied statistics and data science - Softcover
Synopsis
Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in data science using the R Statistical Software. Each technique is framed within an easy-to-apply 7 Step methodology.
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About the Author
Nicole Radziwill is an Associate Professor in the Department of Integrated Science and Technology (ISAT) at James Madison University (JMU) in Harrisonburg, Virginia. She is a Fellow of the American Society for Quality (ASQ) and is a Certified Six Sigma Black Belt (CSSBB) and Certified Manager of Quality and Organizational Excellence (CMQ/OE). She has a Ph.D. in Quality Systems, and her research uses data science to explore Quality 4.0: quality and innovation in intelligent automation and cyber-human production systems. She is one of ASQ's Influential Voices and blogs at http: //qualityandinnovation.com.
"About this title" may belong to another edition of this title.
- PublisherLapis Lucera
- Publication date2017
- ISBN 10 0996916059
- ISBN 13 9780996916059
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages538
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Statistics (The Easier Way) With R: an informal text on applied statistics and data science
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Lapis Lucera (edition 2nd ed.), 2017
ISBN 10: 0996916059
ISBN 13: 9780996916059
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Statistics (The Easier Way) With R: an informal text on applied statistics and data science
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