The non-profit Information Institute (http://www.information-institute.org) and faculty from Virginia Commonwealth University (VCU) are offering a live, interactive, synchronous online course on the use of R for a variety of academic-research statistical analyses. The registration cost for the 14-hour, 5 week course is $225 (student); $295 (faculty); and $325 (practitioner). All of the live class sessions that registered participants attend are recorded and provided to those participants for their repeated post-class review.
The informational (and registration) site for the AM version (AM by US Eastern Time) is here: https://www.regonline.com/R-asa-apr-sat-AM This course runs on five consecutive Saturdays from April 23 to May 21, from 11AM until 2PM ET (GMT-4).
The informational (and registration) site for the PM version (PM by US Eastern Time) is here: https://www.regonline.com/R-inf-inst-apr This course runs on the same five consecutive Saturdays from April 23 to May 21, but in the evening from 6PM until 9PM ET (GMT-4).
The R Project for Statistical Computing provides a comprehensive environment for statistical analysis and graphics and is unrivaled in the availability of new, cutting-edge applications. R is a very powerful system for statistical computations and graphics, and runs on Windows and Mac computers. It may be described as a combination of a statistics platform and a programming language. It is freely available for download from http://www.r-project.org/ .
We designed this course specifically for researchers and statistical workers who want to learn a powerful new software platform for conducting a variety of essential academic research statistical analyses, including: (1) the statistical graphical displays available in R; (2) simple inference; (3) analysis of variance; (4) simple and multiple regression; (5) logistic regression; (6) analyzing longitudinal data; and (7) simultaneous inference and multiple comparisons.
This course illustrates how to use R for common, research-oriented statistical analyses using generic data which is provided with or without the (optional) textbook. We will also use R Commander, the freely-available, menu-driven, statistics-oriented visual interface to R to illustrate how to utilize the various statistical functions.
This live, interactive, synchronous online course is conducted in four separate, weekly 3-hour sessions. There is also a pre-class session to ensure that everyone has installed R and R Commander without problems.
Please email ghubona@vcu.edu with any questions or for more information.
Geoff Hubona
Information Systems Department
Virginia Commonwealth University