(This article was originally published at Getting Genetics Done, and syndicated at StatsBlogs.)

There are also hundreds of other free courses scheduled for this year. While the Computing for Data Analysis course is more about using R, the Data Analysis course is more about the methods and experimental designs you'll use, with a smaller emphasis on the R language. There are also courses on Scientific Computing, Algorithms, Health Informatics in the Cloud, Natural Language Processing, Introduction to Data Science, Scientific Writing, Neural Networks, Parallel Programming, Statistics 101, Systems Biology, Data Management for Clinical Research, and many, many others. See the link below for the full listing.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.

Free Courses on Coursera

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