I put together detailed notes for my how-to class working with cultural data
Organizing data, cleaning data, preparing data for analysis and visualization, creating data summaries
(wait for the link to load since its inside a long web page for my whole course)
The selection of topics and techniques is based on our work in the lab with hundreds of data sets since 2007, and the number of courses I taught on cultural data analysis and visualization for both undergraduates and graduate students.
These topics and techniques can be taught in a 2-3 class.
Intended audiences: all beginning digital humanities people (faculty and students) regardless of the field (art history, literary studies, commmunication, etc); people interested in visualizing data; data journalism.