Name: ART-W23AC
Owner: Berkeley Data Science Modules
Description: Module for Data Arts
Created: 2017-06-16 19:17:23.0
Updated: 2017-11-06 18:29:12.0
Pushed: 2017-10-04 20:59:15.0
Homepage: null
Size: 4337
Language: Jupyter Notebook
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ART-W23AC is a Data Arts class taught at UC Berkeley by Professor Greg Niemeyer, and designed by the BIDS Data Science Education Program. This repo contains the data science modules used within the course.
The documentation for this project lives on the repository wiki. To get started, see the setup instructions and the guidelines for contributing to the project.
Permission is granted to copy and distribute this material, provided that the complete bibliographic citation and following credit line is included: “Copyright © 2017 UCB.” Permission is granted to alter and distribute this material provided that the following credit line is included: “Adapted from (complete bibliographic citation). Copyright © 2017 UCB.” This material may not be copied or distributed for commercial purposes without express written permission of the copyright holder.