Data Analytics

This book fills the need for a concise and conversational book on the growing field of Data Analytics and Big Data. Easy to read and informative, this lucid book covers everything important, with concrete examples and invites the reader to join this field.

This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Students across a variety of academic disciplines, including business, computer science, statistics, engineering and others attracted to the idea of discovering new insights and ideas from data will enjoy this book. The chapters in the book are organized for a typical one-semester course.

• Every chapter begins with insightful case-lets from real-world stories invigorating interest of reader
• Provides a running case study across the chapters as exercises
• Shows clear learning objectives, review questions and objective type questions
• Covers end-to-end data processing chain, from generation of data to the consumption of data
• Covers data mining, web mining, text mining, social analytics and more
• Provides easy tutorials for R Programming and Weka; Primers on Statistics and Data Modelling included in the book