Led by: Kathy Carbone & John Lauermann
School of Information, Pratt Institute
This repository hosts teaching materials produced by the Data Storytelling Lab at Pratt Institute. There is widespread interest in data storytelling around Pratt Institute, as evidenced by faculty research initiatives and student demand for data storytelling coursework. Yet there are significant barriers to entry for this practice, including technical skills for working with data; knowledge of data content, formatting, and standards; and creative skills related to visualization, narrative, and UX design. We established the Data Storytelling Lab (DSL) as a teaching lab focused on identifying, implementing, and assessing best practices for teaching and learning about data storytelling. Here you can find workshops and tutorials procuded by lab contributors, focused on technical skills for data communication. Faculty and students are welcome to use these materials as teaching and learning resources.
- Filipa Calado, Text Processing with Python (September 18, 3:00-4:30pm, PMC 714) Workshop Materials Here
- John Decker, Working with Data Manually (October 16, 3:00-4:30pm, PMC 714) Workshop Materials Here
- John Lauermann, Visualize Social Patterns with the Census API (November 20, 3:00-4:30pm, PMC 714) Workshop Materials Here
- Mark Rosin, Intro to Mathematical Modeling & Visualization in Python (February 12)
- Student team TBD, Visualizing archives, (March 12)
- Claudia Berger, Data physicalization (April 9)
Shield:
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
