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Data science & big data analytics discovering, analyzing, visualizing and presenting data

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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.-- œc From pub...

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Bibliographic Details
Corporate Author: EMC Education Services
Other Authors: Dietrich, David (Computer scientist) (Contributor), Heller, Barry (Contributor), Yang, Beibei (Contributor)
Format: Book
Language:English
Published: Indianapolis, IN Wiley 2015
Subjects:
Data mining
Big data
Quantitative research
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Table of 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.

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