Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Beginning Data Science with R

Manas A. Pathak

Language

English

Book Paperback

Libristo code: 16082786

Publishers Springer International Publishing AG, January 2017

"We live in the age of data. In the last few years, the methodology of extracting insights from data... Full description

Libristo code: 16082786

257 b

105.09 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

30-day return policy

Customers also purchased

Mazal Tov - hodně štěstí - good luck Dana Veselská

Paperback

3.79 €

Grupo Inditex Temiño Aguirre

Hardback

12.69 €

Nouveau Traité De La P?che Dans Les Fleuves Et Rivi?res Navigables: Avec Lignes Volantes Et Flottantes... C. Kresz

Hardback

41.59 €

Johann Georg Müller Ernst Forster

Paperback

21.79 €

Supernatural Horror in Literature Christoph Ruffing

Paperback

15.95 €

Histoire du livre et de l'édition Yann Sordet

Paperback

42.49 €

Geschichte des Sportclubs Magdeburg zwischen 1955 und 1989 Andreas Baumgart

Paperback

47.95 €

Gatha Saptashati Bairagi Charan Jena

Paperback

19.09 €

Luther Im Kloster 1505 - 1525 Karl Benrath

Paperback

34.19 €

Dzieje Narodu Polskiego: Polska Pod Obcem Panowaniem... Teodor Morawski

Paperback

27.89 €

Die Schnecke und der Buckelwal Julia Donaldson

Paperback

7.50 €

"We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The goal of "Beginning Data Science with R" is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.