Data Analytics Using R (Paperback)  | Released: 28-Apr-18

Overview:his book is aimed at undergraduate students of computer science and engineering. The book will be useful companion for IT professionals to data analysts and decision makers responsible for driving strategic initiatives and management graduates and business analysts, engaged in self-study.his book by Acharya unleashes the power of R as a statistical data analytics and visualization tool and introduces the learners to several data mining algorithms and chart forms/visualizations. It has good emphasis on asking the right questions.alient Features:xhaustive 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. 2 Case studies namely Insurance Fraud Detection, Customer Insights Analysis, Sales Forecasting, Credit Card spending by Customer groups and helping retailers predict in-store customer trafficedagogical features:00 plus chapter-end and check your progress questions for self-assessment00 multiple-choice questions0 plus hands-on practical exercisesxhaustive illustrations.