Posted by **FenixN** at Feb. 11, 2017

HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 0 8:58:59 | English: AAC, 128 kb/s (2 ch) | 2,27 GB

Learn and master the industry-standard language for data science

Posted by **AlenMiler** at Feb. 9, 2017

English | 27 Jan. 2017 | ASIN: B01N9WJGGW | 39 Pages | PDF (conv) | 395.01 KB

Are you ready to learn a new coding language? Are you in charge of working with statistics or need to get through a large amount of data and you are worried about how to get it all done in a manageable way?

Posted by **FenixN** at Feb. 7, 2017

HDRips | MP4/AVC, ~720 kb/s | 1280x720 | Duration: 06:46:40 | English: AAC, 128 kb/s (2 ch) | 1.8 GB

A comprehensive guide to working on statistical data with the R language.

Posted by **FenixN** at Jan. 9, 2017

HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:46:46 | English: AAC, 128 kb/s (2 ch) | 922 MB

Practice and apply R programming concepts for effective statistical and data analysis

Posted by **AlenMiler** at Dec. 29, 2016

English | 31 Jan. 2017 | ISBN: 1491950781 | 222 Pages | AZW3/MOBI/EPUB/PDF (conv) | 8.59 MB

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains.

Posted by **FenixN** at Nov. 17, 2016

HDRips | MP4/AVC, ~528 kb/s | 1280x720 | Duration: 05:12:40 | English: AAC, 128 kb/s (2 ch) | 1.4 GB

Build R packages, gain in-depth knowledge of machine learning, and master advanced programming techniques in R.

Posted by **FenixN** at Nov. 16, 2016

HDRips | MP4/AVC, ~1500 kb/s | 960x528 | Duration: 15:12:01 | English: AAC, 128 kb/s (2 ch) | 5,46 GB

R Programming Data Analyst Learning Path, is a tour through the most important parts of R, the statistical programming language, from the very basics to complex modeling. It covers reading data, programming basics, visualization, data munging, regression, classification, clustering, modern machine learning, network analysis, web graphics, and techniques for dealing with large data, both in memory and in databases.

Posted by **house23** at Nov. 10, 2016

MP4 | AVC 928kbps | English | 1280x720 | 30fps | 11h 42mins | AAC stereo 60kbps | 3.79 GB

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Posted by **house23** at Nov. 5, 2016

MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.

Posted by **naag** at Oct. 11, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | Lec: 45 | 434 MB

Graphs with R analytic tool