6-weeks long, ~ 2-3 hours of study per week.
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.
– 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.
Course Topics & Tips for Success: