Hi all,
The economics department at my university is interested in holding a data bootcamp for some of their students and I’ve been trying to steer them towards Software/Data Carpentry. (I am a newly certified instructor and would love to get a workshop under my belt, especially at my home institution.) >From my discussions with faculty, they don’t want or need to spend time going over Excel or SQL (Data Carpentry) and standards of programming (Software Carpentry) isn’t the goal either. What they want: “…what is really needed is the workflow from data processing to analysis in R. The content doesn’t need to be particularly economics focused as long as the data types are relevant. For example, we want to improve our students ability to work with a range of data types including time stamped data, and strings, in addition to standard numeric. Teach them how to write code to clean and process data (merge, reshape, etc.) that clearly documents what was done and meets standards of reproducibility. A component on visualization, perhaps a ggplot2 focus, would also be interesting.” What they’re describing is basically R for reproducible scientific analysis <http://swcarpentry.github.io/r-novice-gapminder/>. Which is great! But I’m not sure where to go from here – this alone doesn’t make a Software Carpentry workshop (although it could easily take two days) and although the topics overlap with Data Carpentry, it doesn’t make a Data Carpentry workshop either. Has anyone used the R for reproducible scientific analysis/intermediate R <http://resbaz.github.io/r-intermediate-gapminder/> as a two-day workshop? If so, what did you call it? Can it still somehow fall under the Software/Data Carpentry banner? (Also, is there a main contact person between the Carpentrys that I can steer the faculty point person towards? I would hate to lead them astray, promising a Carpentry workshop when I can’t technically call it that…) Any and all feedback/suggestions welcome! Thanks, Stephanie ---- Stephanie Labou Research Assistant / Data Manager *Center for Environmental Research, Education, and Outreach* *Washington State University*
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