Spatial Data Science: Advance Your Analytics
Discover hidden patterns, predict with confidence
What is this course about?
Take your analytics projects to the next level by incorporating the power of location and place-based context. This course introduces spatial statistical techniques and methods used to uncover patterns and relationships in data, unlocking insights that help organizations solve complex problems. You’ll explore a variety of scenarios and build skills with powerful ArcGIS tools used by analysts, researchers, and data scientists around the world.
*Prices are inclusive of GST.
**If you are using Learning and Services Units, please contact us, providing the name of the course, the desired scheduled date, and names and email addresses of the required attendees. The LSU price is 4 per person.
Course details
Location
Virtual
Duration
2 days
Level
Intermediate
Category
ArcGIS Pro Workflows
Are there any prerequisites?
Suggested: Completion of Spatial Analysis Essentials for ArcGIS or equivalent knowledge.
What skills will I learn?
- Apply data engineering tools to prepare spatial data for analysis and statistical modeling, ensuring project results are built on a reliable and documented foundation.
- Gain experience with exploratory spatial statistical methods and space-time analysis techniques to detect trends, clusters, hot spots, and anomalies.
- Create and assess prediction models using geostatistical techniques and regression analysis.