R is among the top tools for data mining and data science, due to its a highly powerful statistical and visualization capabilities, and very community which created many analytics-related packages.
The new Try R Code School, sponsored by O'Reilly, lets you learn R at your own pace and earn badges for each chapter.
Contents:
- R Syntax: A gentle introduction to R expressions, variables, and functions
- Vectors: Grouping values into vectors, then doing arithmetic and graphs with them
- Matrices: Creating and graphing two-dimensional data sets
- Summary Statistics: Calculating and plotting some basic statistics: mean, median, and standard deviation
- Factors: Creating and plotting categorized data
- Data Frames: Organizing values into data frames, loading frames from files and merging them
- Working With Real-World Data: Testing for correlation between data sets, linear models and installing additional packages
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