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  • ESRI MOOC - Spatial Data Science

ESRI MOOC - Spatial Data Science

  • August 30, 2023
  • October 11, 2023

ESRI will be hosting a Massive Open Online Course (MOOC) called Spatial Data Science: The New Frontier in Analytics on August 30-October 11, 2023.

To Register, click here: 

About this MOOC

Use location to find patterns and tackle complex problems.

Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses.

Download Course Topics and Tips for Success


  • Understand how spatial data science helps uncover hidden patterns.
  • Use ArcGIS data engineering methods and visualization tools to prepare data for spatial analysis.
  • Gain hands-on experience performing suitability analysis, predictive modeling, space-time pattern mining, and object detection.
  • Communicate analysis results and insights using engaging and compelling ArcGIS StoryMaps.

Suggested Skills

Familiarity with statistics and Python will be helpful but is not required.


Esri provides free access to ArcGIS Pro, ArcGIS Online, ArcGIS Notebooks, ArcGIS Spatial Analyst, and ArcGIS Image Analyst software during the course. You will need to download the software and run it on a machine that meets the ArcGIS Pro system requirements.

Course exercises use ArcGIS Pro 3.1. If your organization uses ArcGIS Pro 2.x, consider completing the hands-on exercises using a workplace machine that doesn't have ArcGIS Pro installed on it or a home PC that meets the ArcGIS Pro system requirements. 


  • A broadband Internet connection and a web browser that allows access to embedded video files are required.
  • Use the latest version of Google Chrome, Apple Safari, or Microsoft Edge.
  • For the best experience, attend the course using a desktop computer, laptop, or tablet.

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