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useful resources and links
Steve Harris edited this page Feb 12, 2016
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A very opinionated, but short list of things that you should read.
- Check out Jupyter notebooks for R
- http://tutorials.iq.harvard.edu/ (Harvard R and Python workshops)
- https://www.coursera.org/course/rprog
- https://www.codecademy.com/learn/learn-git
- http://andrewgelman.com/2015/10/02/syllabus-for-my-course-on-communicating-data-and-statistics/
- http://www.walkingrandomly.com/?p=5877
- https://www.coursera.org/learn/biostatistics
- http://www.niaa.org.uk/
- http://software-carpentry.org/
- http://apawlik.github.io/2014-11-27-elixiruk-manchester/
- http://www.datacarpentry.org/
- https://github.com/donnemartin/data-science-ipython-notebooks
- https://www.datacamp.com/courses/data-table-data-manipulation-r-tutorial
- Awesome public datasets
- HIC data (UCLH specific)
- (SPOT)light data
- MIMIC data
- HSCIC indicator portal (https://indicators.ic.nhs.uk/webview/): a large number of openly published NHS outcomes data
- PERTicus data at UCLH
- Obstetrics data
Please contact Steve Harris if you have any questions.