Spatial Data Science: Advance Your Analytics

Duration
2 days
Cost
1,320
CAD
About this Course
Discover hidden patterns, predict with confidence
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.
  • This course is in development and planned to release in early 2026.
Goals
After completing this course, you will be able to:
  • 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.
Upcoming Classes
Registration closes two (2) business days before the course start date
Confirmed
Online
Spatial Data Science: Advance Your Analytics

Online (Eastern Time)

Wed, May 6 - Thu, May 7, 20269 a.m. - 5 p.m. Eastern Time
Language Taught In
English

Take your analytics projects to the next level by incorporating the power of location and place-based context.

No
Confirmed
Online
Spatial Data Science: Advance Your Analytics

Online (Eastern Time)

Wed, June 3 - Thu, June 4, 20269 a.m. - 5 p.m. Eastern Time
Language Taught In
French

Take your analytics projects to the next level by incorporating the power of location and place-based context.

No
Confirmed
Online
Spatial Data Science: Advance Your Analytics

Online (Mountain Time)

Tue, June 16 - Wed, June 17, 20269 a.m. - 5 p.m. Mountain Time
Language Taught In
English

Take your analytics projects to the next level by incorporating the power of location and place-based context.

No

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