QGIS Training in Serbia

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

A geographic information system (GIS) is a sophisticated system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is sometimes used interchangeably with geographic information science (GIScience), which refers to the academic discipline that studies these systems. This field is a significant component of the broader academic domain of geoinformatics.

QGIS functions as a powerful geographic information system (GIS) software, enabling users to analyze and edit spatial data, as well as compose and export graphical maps. QGIS supports both raster and vector layers, with vector data represented as point, line, or polygon features. The software is capable of handling multiple formats of raster images and can georeference these images. In essence, QGIS allows users to create, edit, visualize, analyze, and publish geospatial information on various operating systems, including Windows, Mac, Linux, and BSD.

This program begins by introducing the QGIS interface for general use. In the subsequent phase, we delve into PyQGIS, the Python libraries of QGIS, which facilitate the integration of GIS functionalities into your Python code or applications. This enables you to develop custom Python plugins tailored to specific GIS tasks.