Introduction to Data Science With R​

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.
Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language

Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language
English | November 2014 | mp4 | H264 1920x1080 | AAC 1 ch 125 kbps | 4 hrs 26 min | 3.17 GB
eLearning

Introduction to Data Analysis with R for Forensic Scientists (Repost)  eBooks & eLearning

Posted by roxul at Dec. 15, 2016
Introduction to Data Analysis with R for Forensic Scientists (Repost)

James Michael Curran, "Introduction to Data Analysis with R for Forensic Scientists"
English | ISBN: 1420088262 | 2010 | 331 pages | PDF | 13 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.

Introduction to Data Analysis with R for Forensic Scientists  eBooks & eLearning

Posted by roxul at Sept. 5, 2014
Introduction to Data Analysis with R for Forensic Scientists

James Michael Curran, "Introduction to Data Analysis with R for Forensic Scientists"
English | ISBN: 1420088262 | 2010 | 331 pages | PDF | 13 MB

Learning Path: Julia: Explore Data Science with Julia  eBooks & eLearning

Posted by FenixN at March 16, 2017
Learning Path: Julia: Explore Data Science with Julia

Learning Path: Julia: Explore Data Science with Julia
HDRips | MP4/AVC, ~137 kb/s | 1280x720 | Duration: 05:33:29 | English: AAC, 128 kb/s (2 ch) | 869 MB
Genre: Development / Programming

Use the advanced features of Julia to work with complex data

Intro to Data Science with JS and D3  eBooks & eLearning

Posted by Landau17 at Sept. 20, 2017
Intro to Data Science with JS and D3

Intro to Data Science with JS and D3
MP4 | Video: 720p | Duration: 3:26:01 | English | 683.4 MB

An Introduction to Data Science  eBooks & eLearning

Posted by Grev27 at Sept. 12, 2017
An Introduction to Data Science

Jeffrey S. Saltz, Jeffrey M. Stanton, "An Introduction to Data Science"
English | ISBN: 150637753X | 2017 | EPUB | 288 pages | 9 MB

Introduction to Data Visualization with Python  eBooks & eLearning

Posted by naag at July 29, 2017
Introduction to Data Visualization with Python

Introduction to Data Visualization with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 246 MB
Genre: eLearning | Language: English

Data visualization is often the first step in a data visualization analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.

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.