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