logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

R Programming And Data Science With R Pattanayak Anupam

  • SKU: BELL-37145954
R Programming And Data Science With R Pattanayak Anupam
$ 31.00 $ 45.00 (-31%)

4.7

86 reviews

R Programming And Data Science With R Pattanayak Anupam instant download after payment.

Publisher: UNKNOWN
File Extension: PDF
File size: 1.08 MB
Pages: 127
Author: Pattanayak, Anupam
ISBN: B09P7J4TSC
Language: English
Year: 2021

Product desciption

R Programming And Data Science With R Pattanayak Anupam by Pattanayak, Anupam B09P7J4TSC instant download after payment.

This book is an introduction to R programming as well as introduction to data science with R. Objective of this book is to allow the reader grasp the basics of R programming quickly and make her proficient in basic R programming skill and it's use in data science. However, there are many other commands and packages available than introduced in this book. So, it does not cover all the finer details of R and it's packages. But it discusses the primary topics well enough so that one gets good foundation for stepping into advanced R programming. All the programs given in this book have been executed in Linux platform. The execution of most of these programs are also given so that the reader can grasp it quickly and then go for execution on her own. If one is not interested to learn about data science, then one can skip the related final few chapters.

Related Products