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
Corresponding data sets are available at www.wiley.com/go/9781118876138.
Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Table of Contents
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