Explore How to Use ArcGIS and Jupyter for Geospatial Data Science

Walk through an end-to-end data science workflow from data engineering, visualization and exploration, spatial analysis, and end with high impact ways to deliver results using ArcGIS tools and Jupyter, the most popular Python notebook interface in the data science community. This webinar is beginner level and will focus on concepts and best practices. We will use open source Python libraries and ArcGIS together, so you can leverage the best of both as you build your data science models.

In this webinar, you will learn:

  • How to use ArcGIS Notebooks – Esri’s integrated notebook experience
  • Concepts and a practical how-to for data engineering
  • What advantage spatial visualization and analysis brings to mainstream data science
  • How to effectively use Jupyter to increase transparency and build reproducible research
  • How to go from notebook-level analysis to a high impact presentation for decision makers

Who should attend?

Anyone interested in how to bring mainstream data science into their spatial workflows and vice versa. GIS User/Analyst Data scientists and Geospatial Data Scientists GIS Managers Business Analysts Analytics Team Leads Python Developers

More Details

Esri is the market leader in geographic information system (GIS) software, location intelligence, and mapping. Its technology combines the science of geography with the power of GIS—think high-tech maps—to make the world work better. By enabling customers to design more efficient cities, deliver clean water and electricity, fight crime, slow climate change, and stamp out disease, Esri is helping create the maps that run the world and shape the future.


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