Data Science for Social Good
June 4-5 and June 17-18, 2013
9:00 am - 4:30 pm
Registration for this boot camp is restricted to fellows of the Data Science for Social Good summer fellowship.
Instructors: Elliott Hauser, Fernanda Foertter, John Blischak
What: Our goal is to help scientists and engineers become more productive by teaching them basic computing skills like program design, version control, testing, and task automation. In this two-day bootcamp, short tutorials will alternate with hands-on practical exercises. Participants will be encouraged both to help one another, and to apply what they have learned to their own research problems during and between sessions. Attendants are offered online office hours: regular events to get one-on-one help from Software Carpentry instructors, online.
Requirements: Participants must bring a laptop with a few specific software packages installed. (The list will be sent to participants a week before the bootcamp.)
Content: The syllabus for this bootcamp will include:
- using the shell to do more in less time
- using version control to manage and share information
- basic Python programming
- how (and how much) to test programs
- documentation and debugging