Advanced Topics in GIS

Sector

Format

Price

Skills

Data Analytics
Data Collection and Creation
Geospatial Modelling
GIS Software
Map Design Principles

Training Description

Advanced Topics in Geospatial Analysis (GIS503) is the third microcredential in the series of five. GIS503 equips learners with the specialized skills required to meet the growing demand for geospatial expertise in senior-level roles. Through a combination of applied projects and hands-on learning, participants will explore advanced GIS modeling techniques, data visualization, and industry-relevant applications using the latest Esri technologies and subscription-based solutions.
Learners will develop technical competencies in Python scripting, spatial interpolation, and Kriging models, as well as gain experience extracting and analyzing demographic and socioeconomic data for decision-making. The course also emphasizes practical applications, including ArcGIS Tracker, web-based mapping, and interactive data visualizations.
By the end of the training, learners will be able to transform complex GIS problems into actionable solutions, communicate results effectively through interactive story maps and presentations, and apply their expertise across a wide range of industries.

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Government funding for workforce solutions

Language

Skills and Competencies

  • Create python scripts from models and ArcToolbox using built-in functionalities of GIS software
  • Use spatial interpolation methods in toolsets for statistics and understand related terms such as semi-variogram modelling
  • Complete a Kriging model using spatial interpolation techniques
  • Use data, based on SimplyAnaltyics, to extract demographic and socioeconomic data for decision support systems
  • Use ArcGIS Tracker with ArcGIS online solution
  • Set up ArcGIS online with data animation, web mapping and visualization
  •  Convert a GIS-related problem into a solution
  • Present the solution with a demo to an audience

The Advanced Topics in GIS Analysis microcredential prepares learners for the low-carbon economy by building advanced skills in energy modeling, automation, and equity-focused analysis.

Learners use tools like Python and model builders within ArcGIS to automate analysis of building data and energy usage at scale. Techniques such as spatial interpolation (e.g., IDW and Kriging) enable accurate prediction of energy performance, supporting targeted efficiency improvements.

The course also emphasizes demographic and socioeconomic analysis to identify high-impact retrofit opportunities, ensuring low-carbon initiatives are both effective and equitable.

Registration

Spring / Summer Term

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C2R2 is a pan-Canadian coalition of colleges, cégeps, and polytechnics dedicated to bridging the skills gap for a resilient recovery. Our members have the expertise and agility to deliver impactful training programs and applied research that support energy security and sustainability. Mohawk College in Hamilton, Ontario, serves as the Coordinating Secretariat for C2R2, leading national projects and advocacy.