(This article was originally published at rbresearch » R, and syndicated at StatsBlogs.)
Just stumbled on across a course on coursera titled “Computing for Data Analysis” taught by Roger D. Peng the Johns Hopkins Bloomberg School of Public Health.
Here is the description of the course.
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.
I just signed up for it! This course looks like a great opportunity to sharpen skills in R and learn new things.
Please comment on the article here: rbresearch » R
