Resources for the OpenTechSchool Berlin Co-Learning Group "R & Statistical Data Analysis"

Downloading and Installing R

Choose & download the right installer for your computer from http://mirrors.softliste.de/cran/ . Then run the installer you downloaded.

The most commonly used one is RStudio

Swirl: Interactive tutorial in R http://swirlstats.com/
A list of beginners tutorials for programmers and non-programmers: http://heather.cs.ucdavis.edu/~matloff/r.html
More tutorials, including targeted one for different subject areas (economics, psychology, ecology): http://pairach.com/2012/06/17/r_tutorials_non-uni/
Coursera R Programming Course: https://www.coursera.org/course/rprog
Doing the Kaggle Machine Learning Introductory Challenge "Titanic" with R: http://trevorstephens.com/post/72916401642/titanic-getting-started-with-r

https://www.datacamp.com/courses/data-analysis-and-statistical-inference-mine-cetinkaya-rundel

Exploratory Data Analysis (4 weeks): https://www.coursera.org/course/exdata
Statistical Interference (4 weeks): https://www.coursera.org/course/statinference
Regression Models (4 weeks): https://www.coursera.org/course/regmods
In-depth semester-long course on statistics with R: https://courses.edx.org/courses/UTAustinX/UT.7.01x/3T2014/info
The Analytics Edge (12 weeks): https://www.edx.org/course/analytics-edge-mitx-15-071x-0#.VPh13s3iIQE
OpenIntro Statistics (Book + Exercises): https://www.openintro.org/stat/textbook.php

List of "Awesome Public Datasets": https://github.com/caesar0301/awesome-public-datasets/blob/master/README.rst
rOpenGov: R interfaces to several major (mostly European) OpenGovernment data sources: http://ropengov.github.io/projects/