Data Science and Big Data Analytics Discovering, Analyzing, Visualizing and Presenting Data 1st Edition

Author(s): EMC Education Services
Publisher: John Wiley & Sons P&T
ISBN: 9781118876138
Edition: 1st Edition

$39,99

Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable

Recommended Software: Check here

Important: No Access Code

Description

Description

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book 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.

This book 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

Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data 1st Edition

Author(s): EMC Education Services
Publisher: John Wiley & Sons P&T
ISBN: 9781118876138
Edition: 1st Edition

$39,99

Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable

Recommended Software: Check here

Important: No Access Code

Description

Description

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book 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. This book 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