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Title Data science and big data analytics : discovering, analyzing, visualizing and presenting data / edited by EMC Education Services ; [key contributors David Dietrich, Barry Heller, Beibei Yang].

Publication Info. Indianpolis, IN : John Wiley & Sons, ©2015.


Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource : color illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note CIP data; item not viewed.
Bibliography Includes bibliographical references and index.
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.
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; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification. -- Edited summary from book.
Language English.
Subject Data mining.
Big data.
Quantitative research.
Exploration de données (Informatique)
Données volumineuses.
Recherche quantitative.
COMPUTERS -- General.
COMPUTERS -- Database Management -- Data Mining.
Fouille de données.
Traitement électronique des données.
Programmation informatique.
Quantitative research. (OCoLC)fst01742283
Big data. (OCoLC)fst01892965
Data mining. (OCoLC)fst00887946
Data Mining
Genre/Form Electronic book.
Electronic books.
Ressources Internet.
Livres numériques.
Added Author Dietrich, David (Computer scientist), contributor.
Heller, Robert, 1932-2012, contributor.
Yang, Beibei, contributor.
EMC Education Services.
Other Form: Print version: 9781118876138
ISBN 9781118876053 (electronic bk.)
1118876059 (electronic bk.)
1118876229 (electronic bk.)
9781118876220 (electronic bk.)
Standard No. 10.1002/9781119183686 doi
AU@ 000061142940
CHNEW 000943827
CHVBK 480240574
DEBBG BV043398002
DEBSZ 453328237
GBVCP 836426363
GBVCP 897163044
NZ1 16178707
ZWZ 190980575

Available items only