Posted by **tanas.olesya** at Nov. 6, 2015

English | 13 Apr. 2014 | ISBN: 1617291560 | 416 Pages | PDF | 20 MB

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business.

Posted by **ChrisRedfield** at May 12, 2015

Published: 2014-04-13 | ISBN: 1617291560 | PDF + EPUB + MOBI | 416 pages | 46.18 MB

Posted by **hill0** at June 22, 2017

English | 31 Dec. 2014 | ISBN: 3319120654 | 172 Pages | PDF | 3.86 MB

“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.

Posted by **readerXXI** at May 18, 2017

English | 2016 | ISBN: 1785881167 | 398 Pages | True PDF | 6 MB

Harness actionable insights from your data with computational statistics and simulations using R.

Posted by **AlenMiler** at April 30, 2017

English | 30 Jun. 2016 | ASIN: B01J3RIG9M | 398 Pages | AZW3 | 9.75 MB

Posted by **hill0** at March 23, 2017

English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Posted by **naag** at Jan. 3, 2017

English | ISBN: 3319120654 | 2015 | 172 pages | PDF | 4 MB

Posted by **AlenMiler** at Dec. 11, 2016

English | 16 Dec. 2016 | ISBN: 0134024141 | 256 Pages | AZW3/MOBI/EPUB/PDF (conv) | 40.23 MB

As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real world problems by applying advanced data science techniques in Hadoop environments.

Posted by **FenixN** at Dec. 5, 2016

HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.

Posted by **FenixN** at Dec. 4, 2016

HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.