The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
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Training: R for Data Science: Day 1
March 2, 2016
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: Mapping in R with Leaflet
February 24, 2016
Come learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps.
Training: Basics of Drupal (3-part series)
April 4, 2016 to April 18, 2016
Drupal is a powerful, open-source content management system (CMS) that provides a flexible platform for websites and web-based research projects.
March 2, 2016
This workshop provides a discussion of federal regulations overseeing human subjects research, levels of review and application submission guidance.
March 11, 2016
Coding is done, now what? You’ve finished coding your qualitative data and now it’s time to start the “analysis” process. Where do you start?
Training: Qualitative Data Analysis with Atlas.TI
March 4, 2016
This workshop covers how to organize and analyze qualitative data in Atlas.TI. Both researchers new to qualitative methods and experienced qualitative researchers are encouraged to attend.
Training: Citation Management in Zotero
March 15, 2016
Citation management software can help organize research results and make writing papers easier by quickly creating properly formatted bibliographies and footnotes.
Training: Citation Management in Zotero
March 3, 2016
Citation management software can help organize research results and make writing papers easier by quickly creating properly formatted bibliographies and footnotes.
February 18, 2016
This workshop will focus on how to quickly set up database-like structures in Google Sheets and then flexibly build various kinds of reports and displays on top of a sound data foundation.
