Teaching Spatial Data Science with ArcGIS Notebooks Webinar

[RosemaryBoone]

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 the webinar recording Teaching Spatial Data Science with ArcGIS Notebooks that took place on May 4th at 10 AM (PT) 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.

Webinar speakers you'll hear from:

• Song Gao - Associate Professor, Department of Geography, University of Wisconsin-Madison
• Ravi Narayanan - Group Product Engineering Lead, Esri
• Lingtao Xie - Product Engineer II, Esri
• Nicholas Giner - Product Manager, Esri
• Canserina Kurnia - Senior Solution Engineer - Education, Esri

Watch the recording >>

Download Giner's Presentation >>

Download Gao's Presentation >>