QGIS Training in Kenya

This instructor-led, live training in Kenya (online or onsite) is designed for beginner-level earth sciences and engineering professionals who aim to leverage Python for geospatial analysis in both ArcGIS and QGIS environments.

Upon completion of this training, participants will be able to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Employ Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS contexts.
• Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to enhance task efficiency.

A Geographic Information System (GIS) is a framework built 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 discipline that studies these systems, which forms a significant part of the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as point, line, or polygon features. The software accommodates various raster image formats and can georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial data across Windows, Mac, Linux, and BSD platforms.

In the first phase, this course introduces the QGIS interface for general usage. The second phase covers PyQGIS, the Python libraries of QGIS, which allow the integration of GIS functionalities into your Python code or applications. This enables you to develop your own Python plugins tailored to specific GIS functionalities.