Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.
Material type:
TextDescription: xviii, 410 pages : illustrations (some color) ; 25 cmISBN: - 9781118876138
- 111887613X
- Data science and big data analytics
- QA76.9. .D34 2015
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Zetech Library - TRC General Stacks | Non-fiction | QA76.9 .D34 2015 (Browse shelf(Opens below)) | C.1 | Available | Z009566 |
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| QA76.9.D32 .C33 2017 The data science handbook / | QA76.9.D33 C37 2001 Data abstractions and problem solving with Java / | QA76.9.D33 C37 2001 Data abstractions and problem solving with Java / | QA76.9 .D34 2015 Data science & big data analytics : discovering, analyzing, visualizing and presenting data / | QA76.9 .D343 .A76 2022 Data analytics: principles, tools, and practices: A complete guide for advanced data analytics using the latest trends, tools, and technologies/ | QA76.9 .D343 .A76 2022 Data analytics: principles, tools, and practices: A complete guide for advanced data analytics using the latest trends, tools, and technologies/ | QA76.9.D343 D38345 2009 Data mining : know it all / |
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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