Developer Team: Aaron Moore, Caitlin Yee, Kinsey Long, Peter Flo Grinde-Hollevik, Hans Ocampo
Environmental Data Analysis, taught by Dan Hammer, will teach practical skills to address climate change and environmental conservation using data and building on what you've learned in DATA 8.
The main branch of this Github repository will reflect the most recent Lecture notes. Note that the Datahub links will not be live until Wednesday at 10am PT, following the Tuesday lecture. In fact, all Lecture notes and topics are subject to change until the day of lecture. Additional resources for the course can be found on bcourses. You will need to be enrolled in the class to see the additional resources, but the Lectures will remain public.
Please contact Head TA Peter F. Grinde-Hollevik with any questions. He knows everything.
| Lecture | Date | Summary | Topic | Datahub Link |
|---|---|---|---|---|
| Lecture1 | 01/18 | Course overview & Introduction to Python | Environmental Justice | launch DataHub |
| Lecture2 | 01/25 | Sort, merge, and aggregate tables | Environmental Justice | launch DataHub |
| Lecture3 | 02/01 | Finding correlations | Environmental Justice | launch DataHub |
| Lecture4 | 02/08 | HTTP Requests & emissions monitoring | Emissions monitoring | launch DataHub |
| Lecture5 | 02/15 | Simple mapping | Emissions monitoring | launch DataHub |
| Lecture6 | 02/22 | Clustering and mapping | Environmental policy | launch DataHub |
| Lecture7 | 03/01 | Omitted variables & simulations | Environmental quality | launch DataHub |
| Lecture8 | 03/08 | Fitting a curve | Emissions vs growth | launch DataHub |
| Lecture9 | 03/15 | Data visualization | Emissions vs growth | launch DataHub |
| Lecture10 | 03/22 | Web API interactions | City-level emissions | launch DataHub |
| Panel | 03/29 | (5pm PT) Newton Distinguished Innovator Lecture | Career trajectory | I-House Chevron Auditorium |