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ESRI MOOC - Spatial Data Science: The New Frontier in Analytics

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ESRI MOOC - Spatial Data Science: The New Frontier in Analytics

Start
August 28, 2024
End
October 09, 2024

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.

Note: Course exercises use ArcGIS Pro 3.3, which requires Microsoft .NET Desktop Runtime 8.0.x (x64). For the best experience, confirm that you have this .NET version or install the update before the course opens. If you plan to use a machine that requires an IT administrator to install or update software, please contact them now for assistance. For detailed information, read this blog post.

Download Course Topics and Tips for Success

Goals

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.

Software

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