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

Software Architecture in Practice, 3/e
software architecture in ... AUTHOR'S NAME:

699.00

Oswaal NCERT Workbook English (Marigold) Class 3
oswaal ncert workbook eng... AUTHOR'S NAME:

79.00

Mathematics For Nda And Na | National Defence Academy & Naval Academy| Revised Edition
mathematics for nda and n... AUTHOR'S NAME:DR R S AGGARWAL

390.00

Objective Phy NEET: Part 2 up to 2024
objective phy neet: part ... AUTHOR'S NAME:B M Sharma

565.00

Stationery Books