Data Analytics Using R /
Acharya, Seema
Data Analytics Using R / Seema Acharya - Chennai McGraw Hill Education (India) Private Ltd. 2018 - xxii, 555p.
It includes index
This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.
This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.
Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface 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.
12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic
Pedagogy
300+chapter-end and check your progress questions for self-assessment
200Multiple-choice questions
10+hands-on practical exercises
Exhaustiveillustrations
9789352605248
519.502855133 ACH
Data Analytics Using R / Seema Acharya - Chennai McGraw Hill Education (India) Private Ltd. 2018 - xxii, 555p.
It includes index
This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.
This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.
Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface 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.
12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic
Pedagogy
300+chapter-end and check your progress questions for self-assessment
200Multiple-choice questions
10+hands-on practical exercises
Exhaustiveillustrations
9789352605248
519.502855133 ACH