Try R



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

    The course is made in the tradition of Code School, i.e. you can easily go through it in a browser for a couple of coffee breaks. This does not even require registration.

    The course is divided into eight levels, each of which will take no more than 10-15 minutes:
    1. Syntax R - An easy introduction to R. expressions, variables, and functions
    2. Vectors - Grouping values ​​into vectors and then working with them.
    3. Matrices - Create and display two-dimensional data sets.
    4. Summary Statistics - Miscalculation and construction of basic graphs: absolute, average and quadratic deviations.
    5. Factors - Create and plot charts 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 with Additional Libraries.

    The result was a kind of briefing on the capabilities 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.

    The R language is not the first topic that is covered at Code School for free. Prior to this, have already been released

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

    Comment from habrayuzer barmaley_exe :
    And on 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 is starting soon.

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