Advanced QGIS — Spatial Analysis and Data Integration
This course is designed for learners who have basic QGIS knowledge and want to advance to spatial analysis, geoprocessing, and ...
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This course is designed for learners who have basic QGIS knowledge and want to advance to spatial analysis, geoprocessing, and GIS data integration. Students will learn advanced techniques including raster analysis, digitization, GPS integration, 3D mapping, and automation using QGIS.
Module 1: Data Digitization and Georeferencing
Module 2: Spatial Analysis
Module 3: Integrating GPS and Field Data
Module 4: Advanced Visualization
Module 5: Automation with Model Builder and PyQGIS
Module 6: Advanced Cartography and Map Composition
Capstone Project
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Course details
Lectures
18
Assignments
6
Course requirements
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Completion of QGIS for Beginners or equivalent basic knowledge.
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Familiarity with vector and raster data, map projections, and styling.
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QGIS installed on your computer.
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Optional: Basic Python programming for automation (PyQGIS).
Intended audience
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GIS professionals and analysts looking to advance their skills.
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Environmental scientists, urban planners, and geographers.
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Data analysts integrating spatial data into business or research workflows.
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Anyone interested in professional GIS mapping and analysis.
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