| 11:00-11:50 | Introduction + Code of Conduct |
| 11:45-12:00 | Break |
| 12:00-13:00 | Xarray |
| 13:00-13:15 | Break |
| 13:15-14:00 | Project brainstorming |
| 11:00-11:15 | Satellite report out |
| 11:15-12:00 | Data access in Python |
| 12:00-12:15 | Break |
| 12:15-13:00 | Data access in R |
| 13:00-13:15 | Break |
| 13:15-14:00 | Machine learning introduction |
| 11:00-11:15 | Project team report out |
| 11:15-12:00 | Data visualization in R |
| 12:00-12:15 | Break |
| 12:15-13:00 | Data visualization in Python |
| 13:00-13:15 | Break |
| 13:15-14:00 | Satellite-dependent |
| 11:00-11:15 | Project team report out |
| 11:15-12:00 | Machine learning applications |
| 12:00-12:15 | Break |
| 12:15-13:00 | Best practices for reproducible research |
| 13:00-13:15 | Break |
| 13:15-14:00 | Dask |
| 11:00-12:00 | Project final touch |
| 12:00-14:00 | Project presentations |