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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Wiley Online LibraryPublisher: Indianpolis, IN : John Wiley & Sons, ©2015Description: 1 Online-Ressource (XVIII, 410 Seiten)ISBN:
  • 9781119183686
  • 9781118876220
  • 9781118876053
  • 1119183685
  • 1118876229
  • 1118876059
Other title:
  • Data science and big data analytics
Subject(s): Additional physical formats: 9781118876138 | Erscheint auch als: Data science & big data analytics. Druck-Ausgabe. Indianapolis, Ind. : Wiley, 2015. XVIII, 410 SeitenDDC classification:
  • 006.3/12
  • 006.312
RVK: RVK: ST 530Local classification: Lokale Notation: inf 5.6LOC classification:
  • QA76.9.D343
DOI: DOI: 10.1002/9781119183686Online resources:
Contents:
Introduction to Big Data AnalyticsData Analytics Lifecycle -- Review of Basic Data Analytic Methods Using R -- Advanced Analytical Theory and Methods: Clustering -- Advanced Analytical Theory and Methods: Association Rules -- Advanced Analytical Theory and Methods: Regression -- Advanced Analytical Theory and Methods: Classification -- Advanced Analytical Theory and Methods: Time Series Analysis -- Advanced Analytical Theory and Methods: Text Analysis -- Advanced Analytics: Technology and Tools: MapReduce and Hadoop -- Advanced Analytics: Technology and Tools: In-Database Analytics -- 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. --Summary: Introduction to Big Data Analytics -- Data Analytics Lifecycle -- Review of Basic Data Analytic Methods Using R -- Advanced Analytical Theory and Methods: Clustering -- Advanced Analytical Theory and Methods: Association Rules -- Advanced Analytical Theory and Methods: Regression -- Advanced Analytical Theory and Methods: Classification -- Advanced Analytical Theory and Methods: Time Series Analysis -- Advanced Analytical Theory and Methods: Text Analysis -- Advanced Analytics: Technology and Tools: MapReduce and Hadoop -- Advanced Analytics: Technology and Tools: In-Database Analytics -- The Endgame, or Putting It All TogetherPPN: PPN: 836426363Package identifier: Produktsigel: BSZ-35-Auswahl-Sachsen | ZDB-35-UBC | ZDB-35-WIC
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