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Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.

Contributor(s): Material type: TextTextSeries: EMC ; 2Publication details: Indianpolis : John Wiley & Sons, c.2015.Description: xviii, 410 p. : ill. (some col.) ; 25 cmISBN:
  • 9781118876138
Other title:
  • Data science and big data analytics
Subject(s): DDC classification:
  • 006.312 DAT 22
Online resources:
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.--
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Academic Bookshop 006.312 DAT (Browse shelf(Opens below)) 9128 Available 000034149
Total holds: 0

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.--

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