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

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

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.--

Bibliographic Details
Main Author: EMC Education Services (-)
Corporate Author: EMC Education Services, issuing body (issuing body)
Other Authors: Dietrich, David (Computer scientist), contributor (contributor), Heller, Barry, contributor, Yang, Beibei, contributor
Format: eBook
Language:Inglés
Published: Indianapolis, Indiana : John Wiley and Sons 2015.
[2015]
Edition:1st edition
Subjects:
Big data.
Data mining.
Information visualization.
Management > Statistical methods.
Management > Data processing.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629565006719
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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