Mastering Geospatial Analysis with QGIS

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Mastering Geospatial Analysis with QGIS

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Applies geospatial analysis techniques using QGIS software for data handling and analysis

Original Description

The "Mastering Geospatial Analysis with QGIS" course employs a multi-disciplinary approach, covering essential aspects of geospatial analysis and QGIS software through nine structured modules. Module One introduces learners to QGIS, encompassing installation, QGIS 3.0 basics, and interface exploration including toolbars, panels, and plugins. Module Two focuses on practical geospatial data handling within QGIS, covering shapefiles, vector and raster data styling, and attribute management using calculators and selection tools. Module Three explores cartographic techniques such as coordinate systems, projections, and map creation including choropleth and graduated symbol maps. Additionally, it includes data integration tools like basemaps, GPS data handling, and measurement tools. Module Four delves into georeferencing and digitization methods for toposheets and online sources like Open Street Maps and Google Earth. Advanced spatial analysis techniques like buffer and overlay analysis are detailed in Module Six, while Modules Seven to Nine cover satellite data handling, terrain analysis, and advanced mapping and application development using QGIS and tools like Qfield and BIM integration. Join us in mastering QGIS for geospatial analysis and applications development, preparing to excel in this dynamic field. Target Learners: • Undergraduate students of Civil Engineering • Post-Graduate Students in Geoinformatics/ Remote Sensing/ Geospatial Engineering. • Practicing Engineers involved in geospatial applications in construction. • Faculties in Civil, Geospatial and Environmental Studies. • Professionals in GIS and Remote Sensing fields • Engineers and project managers involved in spatial data analysis Prerequisites: • Basic understanding of GIS principles and spatial data • Familiarity with computer operations and software usage • Software: QGIS
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