Scripting and modeling is one of the key components in the spatial data science framework and is a core capability to teach in data science-related courses. ArcGIS Notebooks allow you to work with Python code and spatial data within the ArcGIS platform. They include features such as built-in Jupyter Notebooks, the ArcGIS API for Python and ArcPy libraries, and machine learning capabilities, that, when combined, make them a powerful tool for performing and teaching spatial data science.
Watch this webinar to
- Learn how to use ArcGIS Notebooks as tools for teaching Python scripting and managing your course contents
- Learn best practices for performing spatial data science workflows within ArcGIS Notebooks
- Get resources to start using ArcGIS Notebooks for your teaching.
Presenters:
- Song Gao, Associate Professor—University of Wisconsin
- Nicholas Giner, Esri Product Manager—Analytics and Data Science
- Lingtao Xie, Esri Product Engineer—ArcGIS Notebooks
- Canserina Kurnia, Esri Senior Solution Engineer, Education Team