Use location to find patterns and tackle complex problems.
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.
Please note that this is a six-week course ending on 9 December, 2020.
Registrations close on 12 November, 2020.
Registrations close on 12 November, 2020.
Course highlights
- Understand how spatial data science helps uncover hidden patterns.
- Use ArcGIS data engineering methods and visualisation 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.