Название: Data Analytics Using R Автор: Seema Acharya Издательство: McGraw Hill Education Год: 2018 Страниц: 579 Язык: английский Формат: pdf (true) Размер: 23,6 MB
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".
We are in very exciting times! Statistical computing and high-scale data analysis tasks need a new category of computer language other than the procedural and object-oriented programming languages. The main objective of this category of language is to support various types of statistical analysis and data analysis tasks rather than developing new software. There are mounds of data available today which can be analyzed in different ways and can provide a wide range of useful insights for different operations in different industries. However, the problem was the lack of support, tools and techniques for data analysis for different purposes. R, a statistical and analytical language, has come to our rescue! To add to the benefits, it is an open source.
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 traffic
Pedagogical features: 300 plus chapter-end and check your progress questions for self-assessment 200 multiple-choice questions 10 plus hands-on practical exercises Exhaustive illustrations.
R Programming: An Approach to Data Analytics Название: R Programming: An Approach to Data Analytics Автор: G. Sudhamathy, C. Jothi Venkateswaran Издательство: MJP Publishers Год: 2019 ...
Data Analytics and Linux Operating System Название: Data Analytics and Linux Operating System Автор: Isaac D. Cody Издательство: CreateSpace Independent Publishing Platform Год: 2016 Страниц:...
Data Analytics Made Accessible Автор: Anil Maheshwari Название: Data Analytics Made Accessible Издательство: Amazon Digital Services LLC Год: 2015 ASIN: B00K2I2JL8 Язык: English...
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.
Навигация
Вход на сайт
Реклама
Data Analytics Using R 
Название: Data Analytics Using R 
