Data Science 2015 r

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.

Data Science with R  eBooks & eLearning

Posted by FenixN at Nov. 20, 2016
Data Science with R

Data Science with R
HDRips | MP4/AVC, ~499 kb/s | 1280x720 | Duration: 15:14:52 | English: AAC, 128 kb/s (2 ch) | 3.53 GB
Genre: Development / Programming

Learn R and get comfortable with data science.

Data Science with R  eBooks & eLearning

Posted by naag at Oct. 30, 2016
Data Science with R

Data Science with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 418 MB
Genre: eLearning | Language: English

Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.

Report Writing for Data Science in R  eBooks & eLearning

Posted by Grev27 at Feb. 9, 2016
Report Writing for Data Science in R

Roger D. Peng, "Report Writing for Data Science in R"
English | ISBN: n/a | 2016 | PDF | 120 pages | 7,7 MB

Practical Data Science with R by Nina Zumel  

Posted by tanas.olesya at Nov. 6, 2015
Practical Data Science with R by Nina Zumel

Practical Data Science with R by Nina Zumel
English | 13 Apr. 2014 | ISBN: 1617291560 | 416 Pages | PDF | 20 MB

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business.
Udemy – Tableau 9 Advanced Training: Master Tableau for Data Science (2015)

Udemy – Tableau 9 Advanced Training: Master Tableau for Data Science (2015)
MP4 | AVC 545kbps | English | 1280x720 | 30fps | 8 hours | AAC stereo 61kbps | 1.93 GB
Genre: Video Training

Master Tableau 9 for Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing! Hours of professional Tableau Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.
Statistics and Data Science in R from Beginner to Advanced

Statistics and Data Science in R from Beginner to Advanced
MP4 | Video: 1280x720 | 63 kbps | 44 KHz | Duration: 11 Hours | 2.42 GB
Genre: eLearning | Language: English

Learn R, a powerful FREE open-source programming language for statisticians and data miners!

Beginning Data Science with R  

Posted by Willson at Oct. 5, 2015
Beginning Data Science with R

Manas A. Pathak, "Beginning Data Science with R"
English | 2014 | ISBN: 3319120654, 3319120670 | 157 pages | EPUB | 2.1 MB
O'Reilly Learning Paths - Data Science with R Video Training

O'Reilly Learning Paths - Data Science with R Video Training
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 19 Lectures | 25.2 hours | 5.9 GB
Instructors: Stuart Greenlee, Garrett Grolemund, Richie Cotton, Stephen Elston