When
This series of workshops from the U of A DataLab is taught by Jeff Gillan at the Weaver Science-Engineering Library and on Zoom. Step out of conventional GIS frameworks and discover the latest trends in geospatial data science where open tools, cloud technologies, and the proliferation of sensor data are innovating earth observation and environmental monitoring.
Emphasizing open science and reproducible methods, this immersive hands-on workshop series will:
- Show you how to harness cloud computing platforms
- Demonstrate Deep Learning workflows for remotely sensed imagery
- Introduce you to cloud-native formats
- Help you build geospatial analysis pipelines
Each workshop session is designed to be a discrete lesson where students will walk away with specific knowledge on a tool and resources to explore deeper. Our goal is to demystify vocabulary and show you how to use these tools with straight forward examples. We hope to cover material that is not currently being taught in credited classes at U of A.
The series is FREE and open to all affiliated with the University of Arizona. It is tailored for graduate students, postdocs, and early career faculty looking to expand their geospatial skills.
We welcome students and professionals from any field of study across the university. A variety of skill levels are also welcome, though each lesson will assume the audience has limited experience on the topic. Basic knowledge of scripting languages (mostly python) and some prior geospatial experience will be helpful. Some of the lessons will include gentle live coding, but the focus will be on the big picture of what the code is doing. Jupyter notebooks with pre-written python code will be provided for several of the lessons.