Data Science & Big Data Analytics 9781118876138

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Titel: Data Science & Big Data Analytics
Auteur: EMC Education S
ISBN: 9781118876138
Conditie: Beetje gebruikt

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.

Data Science and Big Data Analytics Discovering, Analyzing, Visualizing and Presenting Data Data Science and Big Data Analytics 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, and the learning is supported and explained with illustrative examples 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 analyze big data
• Learn how to tell a compelling story with data to drive business action
• Prepare for EMC ProvenTM Professional Data Scientist certification

EMC Proven™ Professional is a leading education and certification program in the IT industry, providing comprehensive coverage of information storage technologies, virtualization, cloud computing, data science/big data analytics, and more... Being Proven means investing in yourself and formally validating your expertise! This book prepares you for the Data Science Associate exam E20-007 leading to EMC Proven Professional Data Science Associate (EMCDSA) certification. Visit http://education.EMC.com for details.

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!

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