For any spatial analyst or GIS enthusiast. A certificate of completion is provided when completing the course.
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.
Esri will provide access to ArcGIS Pro, ArcGIS Online, and ArcGIS Notebooks during the course. A broadband Internet connection and a web browser that allows access to PDF files and embedded video files are required.
Notes:
The machine used for course exercises must meet the ArcGIS Pro system requirements.
Some course exercises use notebooks that are not supported in Internet Explorer. We recommend using Google Chrome, Firefox Mozilla, or Microsoft Edge.
You're better off just doing the standard free ESRI tutorials:
https://pro.arcgis.com/en/pro-app/get-started/pro-quickstart…