[R] Online courses in R from Statistics.com

[Janet Dobbins]

Perhaps you could circulate this?

*Online courses in R from Statistics.com*
*Basic​ programming​ courses: *

   - R Programming - Intro 1 <http://www.statistics.com/R-Prog-Intro-1> (Dr.
   Paul Murrell, instructor - core development team for R and author of *R
   Graphics *and *Introduction to Data Technologies*) This course
   introduces the basic concepts in computer programming via R - it is for
   those who have had little or no experience in programming.  Students will
   learn how to get going in R from the beginning, understand file formats and
   basic R syntax, and learn about using text editors to write code.  They
   will learn how to read in files, use symbols and assignments, and iterate
   simple loops.  The course closes with discussion of data structures and
   subsetting.
   - R Programming - Intro 2 <http://www.statistics.com/r-prog-intro-2/> (Mr.
   Joris Mays, instructor - coauthor of *R for Dummies*) This course
   continues the introduction to R programming. Students will learn how R
   works with numeric vectors and special values, and how to deal with special
   values.  They will start working with R to handle text data, and learn
   about regular expressions, dates, classes and generic functions, as well as
   matrices, data frames and lists.

*​Beyond basic programming:​*
For those who have been working and using R - the instructor for both of
these courses is Dr. Olivia Lau from Google.

   - R Programming - Intermediate
   <http://www.statistics.com/r-courses/course-catalog/R-Prog-Interm/> (One
   year of daily R use required before taking this course) This course is
   intended for experienced data analysts looking to unlock the power of R.
   It provides a systematic overview of R as a programming language,
   emphasizing good programming practices and the development of clear,
   concise code.  After completing the course, students should be able to
   manipulate data programmatically using R functions of their own design.
   - R Programming - Advanced
   <http://www.statistics.com/r-courses/r-program-adv/> (Two years of daily
   R use required before taking this course) This course covers key
   concepts for writing advanced R code, emphasizing the design of functional
   and efficient code.  It will set students down the road to mastering the
   intricacies of R.  After completing the course, students should be able to
   read, understand, modify, and create complex functions to perform a variety
   of tasks.





*​Other topic specific courses in R:We have a full curriculum of courses in
R (Graphics in R, Mapping in R, Spatial Analysis in R, more).  This
page groups and describes our R
courses:http://www.statistics.com/r-courses/
<http://www.statistics.com/r-courses/>​All courses include:*

   - Expert instructors who answer questions on a daily basis
   - Work on practical exercises and individualized feedback
   - Class size which allows interaction with instructor and fellow students

We specialize in personal attention and value pricing. Each course lasts 4
weeks and consists of readings, supplemental materials, exercises, and a
private discussion forum with fellow students and the instructor.  There
are no set hours to be online, and we estimate the workload to be about 15
hours per week. This is not a 'MOOC' (massive open online course) --
enrollment is limited, and the instructor will respond to each question
that you ask.​


*Pricing:*
​Depending on how many participants and how many courses you are interested
in, we can offer an institutional rate.  The commercial price for the R
Programming courses ranges between $549/person for the intro courses to
$629/person for the advanced/ topic focused courses.  Each course has a
text requirement which can be viewed under the "requirements" tab of each
course description page.  If you need help with this, just let me know and
I can put a chart together for you.​


-Janet

Janet Dobbins
Vice President of Marketing and Communications


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