This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
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This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques
How do you go about publishing a digital book, a multimedia project, a digital exhibit, or another kind of digital project?
Join David Harding, Professor of Sociology and Faculty Director of D-Lab at UC Berkeley, for a discussion on how to more successfully apply for qualitative research grants from funders with positiv
This writing group is for graduate students who are working on projects that incorporate both qualitative data analysis (QDA) software (e.g., MAXQDA, Dedoose, NVivo, and ATLAS.ti) and dev
This session focuses on teaching how to create, organize, and apply codes for different kinds of qualitative research projects.
Part 2: Working With Projections & Spatial Queries
This session first provides a brief introduction to qualitative research, including differences (and similarities) between quantitative and qualitative research, overview of the general process, an
In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization.