Dear ALLSTAT member,
>R
A good entry point for a statistician to learn how to use R as a statistical computing package with (mainly) a command line interface, is John Verzani's online course "Introduction to R – Statistical Analysis,” January 4 – February 1, 2013 at Statistics.com. This course covers how to use R to summarize and graph data, calculate confidence intervals, test hypotheses, assess goodness-of-fit, and perform linear regression.
And if you are interested in data mining, Luis Torgo's “Data Mining in R – Learning with Case Studies” introduces you to both R and data mining. The course follows a "learn by doing it" strategy, where data mining topics are introduced as needed when addressing a series of real world data mining case studies.
John Verzani, Professor of Mathematics at the College of Staten Island (CUNY), is the author of a number of books, including "Using R for Introductory Statistics" (CRC Press).
Luis Torgo, Assoc. Professor of the Department of Computer Science at the University of Porto, is the author of "Data Mining With R," as well as a number of scholarly articles and other publications.
Details:
http://www.statistics.com/Rstatistics
http://www.statistics.com/data-mining-r/
The courses take place online at Statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participants can ask questions and exchange comments with the instructor via a private discussion board throughout the period. Participate at your own convenience; there are no set times when you are required to be online.
Peter Bruce
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