QGIS Training in Nepal

This instructor-led, live training in Nepal (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 framework built for capturing, storing, manipulating, analyzing, managing, and presenting spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic field dedicated to studying these systems, which forms a significant part of the broader discipline of geoinformatics.

QGIS operates as a GIS software solution, enabling users to analyze and edit spatial data, 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 multiple raster image formats and can georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In the first phase, this program introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications. This allows you to even develop your own Python Plugins tailored to specific GIS functionalities.