For you:
- get a first (or second) look at tools;
- gain some experience in the basic command line;
- get 80% of way to a complete analysis of some data;
- introduction to philosophy and perspective of data analysis in science;
This is intended to be a safe and friendly place for learning!
Please see the Software Carpentry workshop Code of Conduct: http://software-carpentry.org/conduct.html
In particular, please ask questions, because I guarantee you that your question will help others!
Harriet Alexander - postdoc at UC Davis.
Phil Brooks - postdoc at UC Davis.
Titus Brown - prof at UC Davis in the School of Vet Med.
- simplifies software installation;
- can be used for bigger analyses quite easily;
- good for "burst" capacity (just got a data set!)
- accessible everywhere;
Basic rules:
- no sticky note - "working on it"
- green sticky note - "all is well"
- red sticky note - "need help!"
Place the sticky notes where we can see them from the back of the room -- e.g. on the back of your laptop.