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Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services.

Contributor(s): Dietrich, David (Computer scientist) [contributor.] | Heller, Barry [contributor.] | Yang, Beibei [contributor.] | EMC Education ServicesMaterial type: Text

TextPublisher: Indianapolis, IN : Wiley, c2015Description: xviii, 410 pages : illustrations (some color) ; 25 cmISBN: 9781118876138Other title: Data science and big data analyticsSubject(s): Data mining | Big data | Quantitative researchLOC classification: QA76.9.D343 | D38 2015

Contents:

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.

Summary: 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.-- From publisher's description.

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Holdings
Item type	Home library	Call number	Copy number	Status	Notes	Date due	Barcode
Books	MMSU Main Library	QA76.9.D3 2015 CIRC (Browse shelf(Opens below))	19-0442	Available	For Circulation		34793

Includes bibliographical references and index.

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.-- From publisher's description.

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