Practical Data Science With r

Practical Data Science with R by Nina Zumel  eBooks & eLearning

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.

Practical Data Science with R  eBooks & eLearning

Posted by ChrisRedfield at May 12, 2015
Practical Data Science with R

John Mount - Practical Data Science with R
Published: 2014-04-13 | ISBN: 1617291560 | PDF + EPUB + MOBI | 416 pages | 46.18 MB

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.

Simulation for Data Science with R  eBooks & eLearning

Posted by readerXXI at May 18, 2017
Simulation for Data Science with R

Simulation for Data Science with R
by Matthias Templ
English | 2016 | ISBN: 1785881167 | 398 Pages | True PDF | 6 MB

Harness actionable insights from your data with computational statistics and simulations using R.

Simulation for Data Science with R  eBooks & eLearning

Posted by AlenMiler at April 30, 2017
Simulation for Data Science with R

Simulation for Data Science with R by Matthias Templ
English | 30 Jun. 2016 | ASIN: B01J3RIG9M | 398 Pages | AZW3 | 9.75 MB

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)  eBooks & eLearning

Posted by hill0 at March 23, 2017
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) by Nicholas J. Horton
English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Beginning Data Science with R [repost]  eBooks & eLearning

Posted by naag at Jan. 3, 2017
Beginning Data Science with R [repost]

Manas A. Pathak, "Beginning Data Science with R"
English | ISBN: 3319120654 | 2015 | 172 pages | PDF | 4 MB
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale

Data Science with Hadoop (Addison-Wesley Data & Analytics) by Ofer Mendelevitch
English | 16 Dec. 2016 | ISBN: 0134024141 | 256 Pages | AZW3/MOBI/EPUB/PDF (conv) | 40.23 MB

As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real world problems by applying advanced data science techniques in Hadoop environments.

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.