Try R

In the morning I found a pleasant New Year surprise in my mail: Code School together with O'Reilly released a free course on language R.

The course is made in the tradition of Code School, i.e. it can easily be passed in the browser for a couple of coffee breaks. You do not even need to register.

The course is divided into eight levels, each of which will take no more than 10-15 minutes:

1. Syntax R - Easy introduction to expressions, variables and functions of R.
2. Vectors - Grouping values ​​into vectors and then working with them.
3. Matrices - Creating and displaying two-dimensional data sets.
4. Summary statistics - Calculation and construction of base graphs: absolute, average and quadratic deviations.
5. Factors - Creating and building graphs with categorized data.
6. Data frames — Organize values ​​into frames, load frames from files, and combine them.
7. Work with real data - Check for correlation between data sets, linear models.
8. Installing additional packages - Extending R using additional libraries.

The result was a kind of briefing on the possibilities of the language, designed for a person with any level of understanding of the topic and having basic programming skills. It turned out qualitatively and very interesting - although, I confess, I am far from this area of ​​knowledge.
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The R language is not the first topic covered by Code School for free. Have already been released

• Try ruby
• Try Git with github
• Rails for zombies
• JQuery Air: First Flight with JumpstartLab

In addition, at the beginning of 2013, Code School planned to release a free course on Try Objective-C , which is now being developed as a by-product of their successful Kickstarter campaign .

Comment from habrauser barmaley_exe :

And also in R'u there is a series of videos that

These were created as a supplement for the online course Stats 1 on Coursera (taught by Andrew Conway). They are an hour of content in total.

and a course on Coursera Computing for Data Analysis , which starts shortly.