Beyond

http://simplystatistics.org/about/ – About statistics

http://explorable.com/overview – About statistics, scientific research and the philosophy of science

—-

R

http://namhuy.net/2025/install-r-linux.html – Installing R in Linux

https://www.rstudio.com/ide/download/desktop – RStudio IDE

https://joelkuiper.eu/R-workshop – A VSI to R

http://tryr.codeschool.com/ – A free short course on R

http://swirlstats.com/index.html – A class of R inside R

http://answers.oreilly.com/topic/1029-when-to-use-excel-when-to-use-r/ – Limitations and strengths of R

—-

Python

http://www.astro.cornell.edu/staff/loredo/statpy/ – Stats in Python

http://scipy-lectures.github.io/intro/index.html – Python in Science (Not that good)

http://cogmaster-stats.github.io/python-cogstats/ – Python in Experimental Psychology (Online Course) follow-up of the above course

http://www.randalolson.com/2012/08/06/statistical-analysis-made-easy-in-python/ – Quick tutorial on Stats in Python

http://msenux.redwoods.edu/math/python/hist.php – Histograms in matplotlib

—-

Stats in Educational Research

http://www.edu.plymouth.ac.uk/resined/quantitative/quanthme.htm#D.%20%20%20%20STATISTICS

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