book is aimed at undergraduate students of computer science and engineering. The book will be useful companion for ITprofessionals to data analysts and decision makers responsible for driving strategic initiatives, and management graduatesand business analysts, engaged in self-study.This book by Acharya unleashes the power of R as a statistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has good emphasis on ‘asking the right questions’.Salient å Exhaustive coverage includes installation of R and its package, getting accustomed to R interface and R commands,working with data from disparate data sources (.csv, JSON, XML, RDBMS etc.), getting conversant with classification,clustering, association rule mining, regression, text mining etc.å 12 Case studies namely Insurance Fraud Detection, Customer Insights Analysis, Sales Forecasting, Credit CardSpending by Customer Groups and Helping Retailers Predict In-store Customer Trafficå Pedagogical ä 300+ chapter-end and check your progress questions for self-assessmentä 200 Multiple-choice questionsä 10+ hands-on practical exercisesä Exhaustive illustrations