Data science and big data analytics : discovering, analyzing, visualizing and presenting data /

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

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Bibliographic Details
Corporate Authors: Wiley InterScience Online service; EMC Education Services
Published: John Wiley & Sons,
Publisher Address: Indianpolis, IN :
Publication Dates: 2015.
Literature type: eBook
Language: English
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781119183686
Summary: This is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; le
Carrier Form: 1 online resource
Bibliography: Includes bibliographical references and index.
ISBN: 9781118876053
1118876059
1118876229
9781118876220
9781119183686
1119183685
Index Number: QA76
CLC: TP311.13
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