The R Project: Data Analysis and Statistical Graphics for the Enterprise

Learn how to cut data analysis software costs by 90% with the open source phenomenon "R"

 

Presented:	Thursday, January 28th, 2010
Presenter:	David Smith, Vice President of Marketing, REvolution Computing
The webinar slides are packed full of helpful links to resources and references! Download the webinar slides in PDF View the recorded webinar in its entirety, approximately 30 minutes [Windows Media File .wmv]

Part 1 of 4, 8:18 Watch on YouTube

Part 2 of 4, 9:35 Watch on YouTube

Part 3 of 4, 6:56 Watch on YouTube

Part 4 of 4, 5:51 Watch on YouTube

 

If you analyze data for a living, you've probably heard the buzz about open-source R in major articles in the New York Times and a new "animal" book from O'Reilly. Business data analysts are now discovering what academia and research statisticians already knew: R's flexibility and power make it simple to do more with your data in a fraction of the time and cost.

 

If you're currently using SAS, SPSS, or Excel to analyze your data, join our webinar and learn how to:

• Create powerful data analysis and models at far less than the cost of proprietary tools
• Discover the latest predictive methods among more than 2000 user-contributed packages
• Learn R quickly using free resources from a vast user community
• Try out the software at absolutely no cost or risk

Our mission at REvolution Computing is to support and enhance the open-source R project. We welcome you to join our webinar and see for yourself what all the fuss is about.

"R is really important to the point that it's hard to overvalue it."

- Daryl Pregibon, Google

 

"Data Analysts Captivated by R's Power"

- New York Times, January 2009