Spatial Data Science: The New Frontier in Analytics
Published on by
KiaraJacobs
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Use location to find patterns and tackle complex problems.
Learn how spatial data science helps analysts uncover deeper insights by applying advanced spatial analytics, machine learning, and deep learning techniques. This course examines how to identify hidden patterns and improve predictive modeling using spatial data. You’ll gain hands-on experience with analytical tools in ArcGIS and learn how to integrate widely used open data science packages to enhance your workflows and create more powerful, data‑driven analyses.
Course Details
- Duration: 6 weeks (2-3 hours of study per week)
- When: September 17 - October 29, 2026
- Cost: $0 (No-cost)
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.
The course includes:
- ArcGIS Pro, ArcGIS Online, ArcGIS Notebooks, ArcGIS Spatial Analyst, and ArcGIS Image Analyst software
- Step-by-step exercises, videos by Esri experts, quizzes, and discussion
Registration closes October 8, 2026, at 11:59 p.m. (Pacific time)
