The Center for Corporate Education (CCE), affiliated with the School of Business Foundation at Virginia Commonwealth University (VCU), is offering non-credit, continuing education, live, interactive, synchronous online classes (one AM and one PM) introducing the use of R for a variety of academic-research statistical analyses. The cost for the 14-hour, 5 week courses is $225 (student); $295 (faculty); and $350 (practitioner). This course has proven to be popular so please do not wait if you are interested. There are only 3 seats left in the PM class.
The informational (and registration) site for the AM version (AM by US Eastern Time) is here: https://www.regonline.com/R-vcu-feb-satAM This course runs on five consecutive Saturdays from February 12 to March 12, from 11AM until 2PM ET. The informational (and registration) site for the PM version (PM by US Eastern Time) is here: https://www.regonline.com/R-vcu-feb-PM This course also runs on the same five consecutive Saturdays from February 12 to March 12, but in the evening from 6:30PM until 9:30PM ET. 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, 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/ .
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 (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 ghubona@gmail.com or at ghubona@vcu.edu with any questions or for more information.
Geoff Hubona
Information Systems Department
Virginia Commonwealth University
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