R Programming Summer Program
3 Month Summer Program
VCU faculty and non-profit Georgia R School offer 4 substantial (4-10 week) online courses, all focused on learning how to program R statistical applications and numerical simulations for one registration fee ($495 students, $595 faculty during April).
This is a summer curriculum to learn how to program your own statistical applications and simulations in R, in contrast to using existing R statistical applications.
Participants have 24/7 online access to all courses and related materials for 3 months.
Informational website is here:
http://www.regonline.com/r-prog1
Email questions to ghubona@vcu.edu
Programming Statistical
Applications Using R Software
Online Summer Program June 1 - Aug 24
- Fundamentals of Using R
- Introduction to Graphics Capabilities with R
- Data Manipulation and Transformation with R
OVERVIEW
Faculty from Virginia Commonwealth University and the non-profit Georgia R School are offering an integrated, 3-month, online summer program of study on basic and intermediate programming skills for developing mathematical and other scientific applications using R statistical software. ...
This is an essential course if you intend to use R software for any variety of mathematical or scientific modeling. ... More and more large firms and government agencies are transitioning to the use of R because of the extensibility and ever-growing scientific user base that the R community enjoys.
At the heart of this educational summer offering is a live, online, 10-week course on programming and numerical simulation using R software. The first six classes instruct with respect to basic and intermediate programming skills for developing numerical, statistical, simulation, and other scientific functions and applications with R statistical software. The remaining four classes apply these R programming skills and techniques to explore how best to achieve numerical program efficiency and how to effectively accomplish root-finding, numerical integration and optimization using R. ... It is ideal for doctoral students, university faculty, and other quantitative researchers who have unique algorithms and mathematical processes to model and who seek an alternative to the use of costly proprietary statistical analysis software.
