Data Analytics With R

R Level 1 - Data Analytics with R  

Posted by naag at Dec. 7, 2015
R Level 1 - Data Analytics with R

R Level 1 - Data Analytics with R
MP4 | Video: 1280x720 | 61 kbps | 48 KHz | Duration: 6 Hours | 775 MB
Genre: eLearning | Language: English

Use R for Data Analytics and Data Mining

Big Data Analytics with R and Hadoop (Repost)  

Posted by tukotikko at July 15, 2015
Big Data Analytics with R and Hadoop (Repost)

Big Data Analytics with R and Hadoop By Vignesh Prajapati
2013 | 238 Pages | ISBN: 178216328X | EPUB, MOBI, PDF | 16 MB

Big Data Analytics with R and Hadoop (Repost)  

Posted by advisors at Feb. 11, 2015
Big Data Analytics with R and Hadoop (Repost)

Big Data Analytics with R and Hadoop By Vignesh Prajapati
2013 | 238 Pages | ISBN: 178216328X | EPUB, MOBI, PDF | 6 MB + 9 MB + 3 MB

Big Data Analytics with R and Hadoop (Repost)  

Posted by bookwyrm at May 15, 2014
Big Data Analytics with R and Hadoop (Repost)

Big Data Analytics with R and Hadoop By Vignesh Prajapati
2013 | 238 Pages | ISBN: 178216328X | EPUB + PDF + MOBI | 6 MB + 9 MB + 3 MB

Big Data Analytics with R and Hadoop  

Posted by roxul at Feb. 7, 2014
Big Data Analytics with R and Hadoop

Vignesh Prajapati, "Big Data Analytics with R and Hadoop"
English | ISBN: 178216328X | 2013 | 238 pages | PDF | 3 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.

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 Analytics with KNIME  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Introduction to Data Analytics with KNIME

Introduction to Data Analytics with KNIME
HDRips | MP4/AVC, ~562 kb/s | 1280x720 | Duration: 03:01:32 | English: AAC, 128 kb/s (2 ch) | 892 MB
Genre: Data Analytics

This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms.

Learning Path: Data Visualization with R  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Learning Path: Data Visualization with R

Learning Path: Data Visualization with R
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 09:14:27 | English: AAC, 128 kb/s (2 ch) | 2,19 GB
Genre: Development / Programming

Communicate and engage with interactive charts and graphs.

Financial Analytics with R: Building a Laptop Laboratory for Data Science  eBooks & eLearning

Posted by Underaglassmoon at Nov. 20, 2016
Financial Analytics with R: Building a Laptop Laboratory for Data Science

Financial Analytics with R: Building a Laptop Laboratory for Data Science
Cambridge | Statistics | Oct. 6 2016 | ISBN-10: 1107150752 | 392 pages | pdf | 18.2 mb

by Mark J. Bennett (Author), Dirk L. Hugen (Author)