Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.
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TextPublication details: Indianapolis; John Wiley and Sons, 2015.Description: xviii, 410 p. : illustrations (some color) ; 25 cmISBN: - 9781118876138
- Data science and big data analytics
- 006.3/12 23
- QA76.9.D343 D382 2015
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| QA76.9.D33 N46 1996 The data compression book / | QA76.9.D34 H33 1997 Understanding and implementing successful data marts / | QA76.9.D343 C4723 2016 Introducing data science : | QA76.9.D343 D382 2015 Data science & big data analytics : | QA76.9.D343 D45 2001 Data mining explained : | QA76.9.D343 .D86 2003 Data mining : | QA76.9.D343 .D86 2003 Data mining : |
Includes bibliographical references and index.
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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