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Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services.

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O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
EMC Education Services.
EMC Education Services, issuing body.
Contributor:
Dietrich, David (Computer scientist), contributor.
Heller, Barry, contributor.
Yang, Beibei, contributor.
EMC Education Services.
Language:
English
Subjects (All):
Big data.
Data mining.
Information visualization.
Management--Statistical methods.
Management.
Management--Data processing.
Physical Description:
XVIII, 410 s. ill.
Edition:
1st edition
Other Title:
Data science and big data analytics
Discovering, analyzing, visualizing and presenting data
Place of Publication:
Indianapolis, Indiana : John Wiley and Sons, [2015]
Language Note:
English
System Details:
text file
Summary:
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.-- From publisher's description.
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.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9781118876053
1118876059
9781119183686
1119183685
9781118876220
1118876229
OCLC:
898154112

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