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

Business Analytics: Communicating with numbers | 2nd Edition
business analytics: commu... AUTHOR'S NAME:

1025.00

GKP GATE 2025 : Civil Engineering - Guide (Includes Solved papers from 2022 to 2024)
gkp gate 2025 : civil eng... AUTHOR'S NAME:

975.00

Adaptive Filter Theory, 4e
adaptive filter theory, 4... AUTHOR'S NAME:

999.00

Oswaal CBSE Sample Question Papers Class 12 Biology Book
oswaal cbse sample questi... AUTHOR'S NAME:

299.00

Stationery Books