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

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 learn...

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Bibliographic Details
Other Authors: Dietrich, David (Contributor), Heller, Robert (Contributor), Yang, Beibei (Contributor)
Format: eBook
Language:English
Published: Indianpolis, IN John Wiley & Sons 2015
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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. --
Physical Description:1 online resource color illustrations
ISBN:1118876059
9781118876220
9781119183686
1118876229
9781118876053