Data Analytics Using R

  • PRODUCT CODE : 9789352605248
  • CATEGORY: Reference Books
  • ISBN-13:
  • PAGES: 555
  • DIMENSIONS:
  • LANGUAGE: English

Data Analytics Using R

Rs. 750.00

Publisher :MCGRAW-HILL
  • Reference Books
  • English
  • 555 PAGES

 This 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.This 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’.Salient Features: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. 12 Case studies namely Insurance Fraud Detection, Customer Insights Analysis, Sales Forecasting, Credit Card spending by Customer groups and helping retailers predict in-store customer trafficPedagogical features:300 plus chapter-end and check your progress questions for self-assessment200 multiple-choice questions10 plus hands-on practical exercisesExhaustive illustrations.

 This 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,
ngaged in self-study.This 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’.Salient Features: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. 12 Case studies namely Insurance Fraud Detection, Customer Insights Analysis, Sales Forecasting, Credit Card spending by Customer groups and helping retailers predict in-store customer trafficPedagogical features:300 plus chapter-end and check your progress questions for self-assessment200 multiple-choice questions10 plus hands-on practical exercisesExhaustive
Read More
  • PRODUCT CODE : 9789352605248
  • CATEGORY: Reference Books
  • ISBN-13: 9789352605248
  • PAGES: 555
  • DIMENSIONS:
  • LANGUAGE: English

Other Books From The Same Category

Non Verbal (Reasoning 6)
non verbal (reasoning 6) AUTHOR'S NAME:Greg Harvey

64.00

Oswaal One For All Workbook, Class-2, Mathematics
oswaal one for all workbo... AUTHOR'S NAME:

289.00

Generation and Utilization of Electrical Energy
generation and utilizatio... AUTHOR'S NAME:

785.00

NDA  NA 17 years English & General Knowledge Topic-wise Solved Papers (2006 2022) 3rd Edition
nda na 17 years english ... AUTHOR'S NAME:

450.00

Stationery Books