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@BigDataExpo Authors: Karyn Jeffery, Pat Romanski, Cloud Best Practices Network, Liz McMillan, Elizabeth White

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R Training for SAS users in Singapore and online

Revolution Analytics has just introduced a 10-module series of R courses in Singapore. If you'd like to learn how to do data analysis in R, already know data analysis in another language like SAS and want to transition to R, or just want to enhance your R skills in a specific area, one of these hands-on courses may be of interest. The available modules (which you mix-and-match) are: Module 1: Introduction to R Module 2: Taking on Big Data using RevoScaleR Module 3: Using R with Hadoop Module 4: Implementing Web Services using RevoDeployR Module 5: Introduction to Rattle and Alteryx for Data Mining  Module 6: Visualization in R with ggplot2 Module 7: R for SAS Users Module 8: Introduction to Statistics and Analytics Module 9: Advanced Statistical Topics, Data Mining, and Machine Learning Module 10: System Administration The next scheduled course on April 15 is R for SAS users, a 2-day R course in Singapore designed for existing SAS users. This quick-start for the R language builds on your existing knowlege of SAS to teach data handling, data visualization, statistical analysis and reporting with R.  If you're not in the SIngapore area, you can find other R courses in North America, India, and Europe. And from anywhere in the world you can take Bob Muenchen's course R for SAS, SPSS and Stata Users online, April 21-23.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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