QGIS Training in Greece

This instructor-led live training in Greece (online or onsite) is designed for beginner-level professionals in earth sciences and engineering who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.

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

• Acquire Python syntax and control structures to execute geospatial tasks efficiently.
• Utilize Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows via 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 framework engineered to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic field dedicated to the study of geographic information systems, which constitutes a significant area within the broader discipline of geoinformatics.

QGIS operates as a Geographic Information System (GIS) application, enabling users to analyze and edit spatial data, as well as design and export graphical maps. It supports both raster and vector layers; vector data is stored in the form of points, lines, or polygons. The software accommodates various raster image formats and offers georeferencing capabilities. In essence, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, macOS, Linux, and BSD platforms.

In its initial phase, this program introduces the QGIS interface for general application. During the second phase, we delve into PyQGIS—the Python libraries of QGIS—which facilitates the integration of GIS functionalities into your Python code or applications, potentially allowing you to develop custom Python plugins around specific GIS features.