The Center for Corporate Education (CCE), affiliated with the School of
Business Foundation at Virginia Commonwealth University (VCU), is offering a
winter-term, non-credit, continuing education, live, interactive,
synchronous online class introducing the use of
R<http://en.wikipedia.org/wiki/R_Statistics> for
a variety of academic-research statistical analyses. The early registration
cost (through December 20) for the 14-hour, 5 week course is $195 (student);
$250 (faculty); and $295 (practitioner).
The informational (and registration) site for the AM version (in the Eastern
US) is here: https://www.regonline.com/R-vcu-feb-AM
The informational (and registration) site for the PM version (in the Eastern
US) is here: https://www.regonline.com/R-vcu-feb-PM
The R Project for Statistical Computing <http://www.r-project.org/> provides
a comprehensive environment for statistical analysis and graphics and is
unrivaled in the availability of new, cutting-edge applications.
R<http://en.wikipedia.org/wiki/R_Statistics>is a very powerful system
for statistical computations and graphics, and
runs on Windows, UNIX and Mac computers. It may be described as a
combination of a statistics package and a programming language. It is freely
available for download from http://www.r-project.org/ .
This course is designed for researchers who want to be introduced to 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 provided with the
HSAUR2 data package which is available with or without the (optional)
textbook. We will also use R
Commander<http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/>,
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 (which has both an AM and
a PM version to reach all time zones) 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. All classes are recorded
and provided to participants so, if you miss a class, you will have the
recording. There is also information available at
http://www.pls-seminars.com.
Feel free to email me at [log in to unmask] or [log in to unmask] with any
questions/issues/etc.
Geoff Hubona
Affiliate faculty, Information Systems Department
Virginia Commonwealth University
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