Posted by **enmoys** at June 1, 2016

2015 | 323 Pages | ISBN: 1498715370 | PDF | 4 MB

Posted by **hill0** at April 19, 2017

English | 24 Jan. 2013 | ISBN: 1461462266 | 308 Pages | EPUB | 1.19 MB

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials.

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 **ChrisRedfield** at Dec. 13, 2015

Published: 2013-01-24 | ISBN: 1461462266, 1489996907 | PDF | 292 pages | 3.09 MB

Posted by **naag** at July 27, 2015

MP4 | Video: 1280x720 | 59 kbps | 44 KHz | Duration: 17 Hours | 2.68 GB

Use the R Programming to execute Business analytic, Data Science, Data Mining, Statistics Projects

Posted by **naag** at July 13, 2015

MP4 | Video: 1280x720 | 59 kbps | 44 KHz | Duration: 6 Hours | 712 MB

Learn the core fundamentals of the R language for programming. Fundamentals to Advanced

Posted by **naag** at April 1, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 20M | 322 MB

Posted by **Bayron** at March 25, 2017

English | 2017 | ISBN: 1119337062 | 465 pages | EPUB | 4 MB

Posted by **AlenMiler** at March 10, 2017

English | 3 Mar. 2017 | ASIN: B06XGNPTL6 | 456 Pages | AZW3 | 4.8 MB

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.