R, Data Analysis

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
5 April 2017 | English | ISBN: 1484226704 | 352 pages | EPUB | 2.5 Mb

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
English | 5 Apr. 2017 | ISBN: 1484226704 | 352 Pages | PDF | 6.46 MB

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

R Data Analysis without Programming  eBooks & eLearning

Posted by interes at Feb. 11, 2016
R Data Analysis without Programming

R Data Analysis without Programming by David W. Gerbing
English | 2013 | ISBN: 041564173X, 0415657202 | 312 pages | PDF + EPUB | 3,8 + 4,9 MB

R Data Analysis Cookbook  eBooks & eLearning

Posted by AlenMiler at Aug. 10, 2015
R Data Analysis Cookbook

R Data Analysis Cookbook by Viswa Viswanathan
English | 30 May 2015 | ISBN: 1783989068 | 342 Pages | EPUB/MOBI/PDF (True) | 27.14 MB

Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it.

Pluralsight - Exploratory Data Analysis with R [Repost]  eBooks & eLearning

Posted by IrGens at Jan. 17, 2016
Pluralsight - Exploratory Data Analysis with R [Repost]

Pluralsight - Exploratory Data Analysis with R
.MP4, x264, 364 kbps, 1024x768 | English, AAC, 128 kbps, 2 Ch | 2 hrs 30 min | 422 MB
Instructor: Matthew Renze | Level: Beginner

Clinical Trial Data Analysis Using R and SAS, Second Edition  eBooks & eLearning

Posted by interes at June 25, 2017
Clinical Trial Data Analysis Using R and SAS, Second Edition

Clinical Trial Data Analysis Using R and SAS, Second Edition by Ding-Geng (Din) Chen and Karl E. Peace
English | 2017 | ISBN: 1498779522 | 410 pages | PDF | 11 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.

Mastering Data Analysis with R  eBooks & eLearning

Posted by naag at June 4, 2017
Mastering Data Analysis with R

Mastering Data Analysis with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 43M | 788 MB
Genre: eLearning | Language: English

R: Recipes for Analysis, Visualization and Machine Learning  eBooks & eLearning

Posted by readerXXI at May 13, 2017
R: Recipes for Analysis, Visualization and Machine Learning

R: Recipes for Analysis, Visualization and Machine Learning
by Viswa Viswanathan and Shanthi Viswanathan
English | 2016 | ISBN: 178728879X | 956 Pages | True PDF | 12 MB

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning.