About the course

Website and course creator and instructor

Saskia A. Otto
Postdoctoral researcher at the Institute of Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Germany
Institute weblink
Blog: www.marinedatascience.co
: saskiaotto
ResearchGate link

Technical infos

The entire course including this website was written in R Markdown. For the lecture presentations I used the slidify framework.

Course inspiration

Much inspiration for this course was drawn from

• Hadley Whickam & Garrett Grolemund and their R for Data Science Book
• the Education sessions at the useR! 2016 and useR! 2017 conferences
• the purrr tutorial given by Charlotte Whickam at useR! 2017
• other great R Markdown websites offering university online courses with the same format such as
  • https://uoftcoders.github.io/rcourse/index.html
  • https://cmerow.github.io/RDataScience/index.html
  • and particularly https://lsru.github.io/tv_course/index.html

swirl course

The development of the swirl course has been a joint effort in the R-Lab 2.0 project, which is one of the so-called Lehrlabor (teaching lab) projects at the University of Hamburg, funded by BMBF (01PL17033).

Design of the questions: Saskia A. Otto, Jan Conradt
Coding of course with swirlify: Jan Conradt, Saskia A. Otto
Course design and editing: Niels Schwab, Saskia A. Otto

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License except for the borrowed and mentioned with proper source: statements.

Image on main page: Section of a Copernicus Sentinel-2A satallite image showing the Great Barrier Reef - processed by ESA, June 2, 2017 (under CC BY-SA 3.0 IGO license).

All code (.Rmd) is available in the github repository. Feel free to browse, download, and even contribute by forking.