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 & Weka; Primers on Statistics, and Data Modeling included in the book. About the Author: Dr. Anil Maheshwari is a Professor of Management Information Systems and Director of Center for Data Analytics at Maharishi University of Management, Fairfield, Iowa, USA.He received a bachelor’s degree in Electrical Engineering from Indian Institute of Technology (IIT) Delhi, and further received his MBA degree from Indian Institute of Management (IIM) Ahmedabad. He earned his PhD from Case Western Reserve University, Cleveland, Ohio. He has been a Professor at the University of Cincinnati, City University of New York, among others.