One thing Stanford Libraries knows about running
Software Carpentry and
Data Carpentry workshops on Stanford’s campus is that workshop demand is high. Case in point: when we invited post-docs for a Data Carpentry workshop on an upcoming weekend this June, we had 120 people interested in the 40 available seats.
That’s some serious demand.
Software and Data Carpentry are sister organizations focused on teaching computing best practices to scientists. The idea is to make research faster, more efficient, and more reproducible by teaching scientists the basics of version control (usually Git), task automation (using the shell), and modular programming (typically in Python, but sometimes R). The two-day, hands-on workshops are taught by volunteer instructors, but workshop hosts are responsible for other costs, like instructor travel and food.