**Revolutions**, and kindly contributed to R-bloggers)

The fine folks at Statistics.com have a number of courses related to R coming up in the next few months, including what looks to be a very useful course in handling data with R from none other than R Core Team member Paul Murrell. The courses from Statistics.com are on-line, so you can participate on your own schedule and time zone. Well worth checking out if you’re looking to complement your R skills. The detailed course announcement is after the jump.

Statistics.com: R courses

You are seven times as likely to change cellphone providers the month

after a friend does. This tidbit comes from an article in Forbes.com

about Norman Nie and his company "Revolution Analytics," which makes

powerful "accessories" to the open source statistical software program

R. R is indeed powerful, but sometimes needs more coding to accomplish

things that other programs can do more concisely. And for that,

you’ll need a facility with the more fundamental data handling

capabilities of R. “Introduction to R – Data Handling” with Paul

Murrell (a leading figure in the R community) will be offered Sept. 17

– Oct. 15 at statistics.com.

Upcoming Courses:

Sep 17: Introduction to R – Data Handling (see below)

Oct 8: Programming in R

Oct 15: Introduction to R – Statistical Analysis

Oct 22: Statistical Analysis of Microarray Data with R

Nov 5: Graphics in R

Nov 19: Introduction to Support Vector Machines in R

“Introduction to R – Data Handling” will provide a basic introduction

to R, and its use in organizing and exploring data. The emphasis is on

understanding and working with fundamental R data structures, and we

will introduce some basic R programming techniques. Once you’ve

completed this course you’ll be able to enter, save, retrieve,

manipulate, and summarize data using R; you will also have the proper

foundation to build your programming skills in R and take advantage of

the full power of R.

Dr. Murrell is a Senior Lecturer in the Department of Statistics at

the University of Auckland, New Zealand. Paul has been a member of the

core development team for R since 1999, with a focus on the graphics

system in R. He is the past Chair of the Section for Statistical

Graphics of the American Statistical Association. He has recently

served as Editor-in-Chief of “R News”, the newsletter of the R

project, and is an Associate Editor for “Computational Statistics” and

“The Journal of Statistical Software”. Participants can ask questions

and exchange comments with Dr. Murrell via a private discussion board

throughout the period.

The course takes place online at statistics.com in a series of 4

weekly lessons and assignments, and requires about 15 hours/week.

Participate at your won convenience; there are no set times when you

are required to be online.

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