Teaching Spatial Data Science with ArcGIS Notebooks

Scripting and modeling are key components in a spatial data science framework, and they are core capabilities to teach in data science related courses. ArcGIS Notebooks allows you to work with Python code and spatial data within the ArcGIS system. It has features such as Jupyter notebooks, ArcGIS API for Python and ArcPy libraries, and machine learning capabilities combined, making it a powerful tool for teaching spatial data science.

Watch the webinar recording to 

• Learn the options for ArcGIS Notebooks and how to use the software as a tool for teaching Python scripting courses.
• Discover best practices to manage your course contents with ArcGIS Notebooks.
• Get resources to start using ArcGIS Notebooks for your teaching. 

Webinar presenters are

• 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