Introduction to Data Science
and Visualization
Prof. James Bagrow | |
| Email: | james.bagrow [at] uvm.edu |
| Lectures: | Tu/Th 8:30–9:45 in Perkins 102 |
| Office Hours: | Mondays 1–4 PM, or by appointment |
| Office: | Farrell Hall 212 ( Map to my office) |
| Course syllabus | |
Extracting meaning from data remains one of the biggest tasks of science and industry. The Internet and modern computers have given us vast amounts of data, so it is more important than ever to understand how to collect, process, and analyze these data. A picture is worth a thousand words, so visualizations, from scientific plots and infographics to interactive data explorers, are crucial to summarize and communicate new discoveries.
Resources
- The course syllabus. Be sure to check this out.
- The Python.org tutorial, Google's Python tutorial, Codeacademy's interactive Python lesson.
- Enthought Canopy. The python work environment we'll be using. Request an academic license.
- Stack overflow. Always handy for programming help.
- Interesting datasets and APIs.
- Colorbrewer.
- Basemap tutorial.
- Heatmap with Basemap (.ipynb).
