Upcoming Statistics.com courses on the use of R (all online)

February 20, 2012
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Guest post:  Statistics.com is offering a list of courses about R from some of the leading experts in their fields.  They offer a $200 discount for anyone who orders any 3 courses from them at one time.  Here is the list of R specific courses (with links):

  • Feb 10:  Introduction to R – Data Handling (http://bit.ly/z9k0vk) taught by Paul Murrell  (“Introduction to Data Technologies,” member R core development team)
  • Mar  9:  Modeling in R (http://bit.ly/yZejUE) taught by Sudha Purohit (“Statistics Using R”)
  • Apr 13:  Programming in R  (http://bit.ly/wrUIuj)  taught by Hadley Wickham (“ggplot2: Elegant Graphics for Data Analysis,” and the R packages ggplot and reshape R)
  • May 18:  Introduction to R – Statistical Analysis (http://bit.ly/xNH4tw) taught by John Verzani (“Using R for Introductory Statistics”)
  • Jun 15:  R Programming Advanced (http://bit.ly/zqgz4e) taught by Hadley Wickham (“ggplot2: Elegant Graphics for Data Analysis,” and the R packages ggplot and reshape R)
The following are domain- and technique-specific R courses:
  • Mar 23:  Survey Analysis in R (http://bit.ly/ynhXie) taught by Thomas Lumley (“Biostatistics: A Methodology for the Health Sciences” and the R survey package)
  • Apr 20:  Statistical Analysis of Microarray Data with R (http://bit.ly/yn206U) taught by Sudha Purohit (“Statistics Using R”)
  • May 11:  Graphics in R (http://bit.ly/zLC5LJ) taught by Paul Murrell  (“Introduction to Data Technologies,” member R core development team)
  • May 25:  Biostatistics in R – Clinical Trial Applications  (http://bit.ly/woz2Bh) taught by Din Chen and Karl Peace (“Clinical Trial Data Analysis Using R”)
  • Jun 22:  Smoothing with P-splines Using R  (http://bit.ly/xv4UaG) taught by Paul Eilers and Bryan Marx
  • Jun 29:  Data Mining in R (http://bit.ly/z0gNVd) taught by Luis Torgo (“Data Mining in R”)
  • Jul 20:  R – ggplot  (http://bit.ly/w78JgZ) taught by Hadley Wickham (“ggplot2: Elegant Graphics for Data Analysis,” and the R packages ggplot and reshape R)
  • Nov 16:  Introduction to Support Vector Machines in R  http://bit.ly/zRA9dr
  • TBA: Spatial Analysis Techniques in R http://bit.ly/xBMKl9




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