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Data science & big data analytics : discovering, analyzing, visualizing and presenting data / Data science and big data analytics EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang. - Indianpolis : John Wiley & Sons, c.2015. - xviii, 410 p. : ill. (some col.) ; 25 cm. - EMC ; 2 .

Index : p. 398-410.

Includes bibliographical references.

1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.

This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.--

ISBN: 9781118876138

LCCN: 2014946681

Subjects--Topical Terms:
Data mining.
Big data.
Quantitative research

Subjects--Geographic Terms:

Subjects--Index Terms:

Dewey Class. No.: 006.312 / DAT