With R

Generalized Additive Models: An Introduction with R, Second Edition  eBooks & eLearning

Posted by roxul at June 25, 2017
Generalized Additive Models: An Introduction with R, Second Edition

Simon N. Wood, "Generalized Additive Models: An Introduction with R, Second Edition"
English | ISBN: 1498728332 | 2017 | 496 pages | PDF | 26 MB

Basic Data Analysis for Time Series with R (repost)  eBooks & eLearning

Posted by roxul at June 25, 2017
Basic Data Analysis for Time Series with R (repost)

DeWayne R. Derryberry, "Basic Data Analysis for Time Series with R"
English | ISBN: 1118422546 | 2014 | 320 pages | EPUB | 23 MB

R: Powerful Data Analysis with R  eBooks & eLearning

Posted by naag at June 23, 2017
R: Powerful Data Analysis with R

R: Powerful Data Analysis with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8.5 Hours | 5.15 GB
Genre: eLearning | Language: English

There’s an increasing number of data being produced every day which has led to the demand for skilled professionals who can analyze these data and make decisions. R is one of the popular tool which is widely used by data analysts for performing data analysis on real-world data.

Beginning Data Science with R [Repost]  eBooks & eLearning

Posted by hill0 at June 22, 2017
Beginning Data Science with R [Repost]

Beginning Data Science with R by Manas A. Pathak
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.

Mastering Parallel Programming with R  eBooks & eLearning

Posted by AlenMiler at May 4, 2017
Mastering Parallel Programming with R

Mastering Parallel Programming with R by Simon R. Chapple
English | 31 May 2016 | ASIN: B017XSFKFG | 244 Pages | AZW3 | 4.24 MB

Big Data Analytics with R  eBooks & eLearning

Posted by AlenMiler at May 1, 2017
Big Data Analytics with R

Big Data Analytics with R by Simon Walkowiak
English | 29 July 2016 | ASIN: B01EHYXNW6 | 506 Pages | AZW3 | 14.1 MB

Simulation for Data Science with R  eBooks & eLearning

Posted by AlenMiler at April 30, 2017
Simulation for Data Science with R

Simulation for Data Science with R by Matthias Templ
English | 30 Jun. 2016 | ASIN: B01J3RIG9M | 398 Pages | AZW3 | 9.75 MB

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 GB | Genre: Development / Programming

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.

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

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.

Getting Started with R for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 24, 2016
Getting Started with R for Data Science

Getting Started with R for Data Science
HDRips | MP4/AVC, ~107 kb/s | 1280x720 | Duration: 01:39:07 | English: AAC, 128 kb/s (2 ch) | 224 MB
Genre: Development / Programming

Unleash the powerful capabilities of R to work effectively with data.