- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
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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Information
Table of contents
- Cover
- Title Page
- Copyright
- Contents
- Introduction
- Chapter 1 Introduction to Big Data Analytics
- Chapter 2 Data Analytics Lifecycle
- Chapter 3 Review of Basic Data Analytic Methods Using R
- Chapter 4 Advanced Analytical Theory and Methods: Clustering
- Chapter 5 Advanced Analytical Theory and Methods: Association Rules
- Chapter 6 Advanced Analytical Theory and Methods: Regression
- Chapter 7 Advanced Analytical Theory and Methods: Classification
- Chapter 8 Advanced Analytical Theory and Methods: Time Series Analysis
- Chapter 9 Advanced Analytical Theory and Methods: Text Analysis
- Chapter 10 Advanced Analytics—Technology and Tools: MapReduce and Hadoop
- Chapter 11 Advanced Analytics—Technology and Tools: In-Database Analytics
- Chapter 12 The Endgame, or Putting It All Together
- Index
- Advert
- EULA
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