Unlock the full potential of geospatial data by combining the power of QGIS with the flexibility of Python. Geo-ICT’s QGIS and Python course is designed for professionals who want to elevate their GIS capabilities by automating workflows, building custom tools, and developing plugins. Whether you're looking to streamline your spatial analyses or build entirely new GIS functionalities, this hands-on course gives you the practical skills to do it—all within QGIS, one of the most widely used open-source GIS platforms.
QGIS and Python
PythonPython
GIS, QGIS, and Python
Geographic Information Systems (GIS) are transforming how we collect, analyze, and use spatial data across nearly every industry. From infrastructure management and environmental monitoring to urban planning and public health, GIS supports professionals in making smarter, data-driven decisions based on location.
Among the most accessible and powerful tools in this space is QGIS—an open-source platform known for its user-friendly interface, adaptability, and thriving global community. When paired with Python, a flexible and widely used programming language, QGIS becomes even more powerful. Python allows users to automate tasks, create custom tools, and build plugins that extend QGIS’s functionality beyond its core features.
This course is designed to bridge the gap between manual GIS work and custom, automated solutions. It’s ideal for anyone ready to move beyond point-and-click operations and start building tailored GIS workflows. Whether you’re in environmental science, government, infrastructure, or any other data-intensive field, this course gives you the tools to work smarter and scale your spatial solutions with confidence.
If you primarily work with ArcGIS, our ArcGIS and Python course could be a better fit for your needs.
What you will learn
The course begins with the essentials—setting up your Python environment and navigating the QGIS interface and Python console. From there, you’ll explore core programming concepts like variables, loops, control flow, and data structures, learning how each applies within a geospatial context.
As you move forward, you’ll start working with spatial data directly, learning how to import, modify, and export geodata using Python. Guided exercises will help you automate repetitive tasks like data selection, styling, or batch processing. You’ll also build your first custom tool within QGIS.
Building on this foundation, the course introduces more advanced topics such as object-oriented programming and plugin development. You’ll learn how to build and structure Python tools, create custom interfaces, and integrate external data sources. Along the way, you’ll also explore techniques for geospatial analysis, data visualization, and creating professional-quality outputs.
By the end of the course, you’ll be able to build your own QGIS-based applications and solve real-world GIS challenges more efficiently.
Why choose this course
Geo-ICT’s QGIS and Python course is built around practical skills, real-world use cases, and expert guidance. It’s tailored for professionals who want to make their GIS work faster, smarter, and more adaptable.
- Taught by instructors with deep experience in both GIS and Python development
- Emphasizes hands-on, project-based learning with real-world data
- Offers personal guidance in small class settings
- Updated regularly to reflect new tools, best practices, and community developments
Course structure
Day 1
The course kicks off with an overview of QGIS and Python, highlighting how the two tools work together. You’ll begin with Python fundamentals—data types, loops, and logic structures—and learn how to use the Python console inside QGIS. You’ll also set up your development environment to support future exercises.
Day 2
With the basics in place, you’ll apply Python in a QGIS context. This includes working with real datasets to perform selections, automate styling, and begin building custom scripts. You’ll start creating your own QGIS tool or application and learn how to structure Python code for modular, scalable development.
Day 3
The final day introduces object-oriented programming and its role in more complex tool development. You’ll continue refining your custom tools or plugins, learning how to build user-friendly interfaces, connect external data sources, and prepare your tools for practical use or sharing. Time is also reserved for addressing your own datasets or project needs under instructor guidance.
Learning Outcomes
- Gain a practical understanding of how Python integrates with QGIS to extend core functionality through scripting and automation.
- Develop the ability to manage, edit, analyze, and visualize geospatial data programmatically using Python.
- Automate repetitive GIS tasks such as selections, styling, and map production to streamline your workflows.
- Design and build custom QGIS tools or plugins, tailored to meet specific project requirements and ready for real-world use.
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about QGIS and Python
In the QGIS and Python course you will learn GIS programming, creating plugins, developing tools, and applying programming concepts such as control-flow statements and data structures in QGIS and Python.
This course is ideal for starting geo specialists, experienced geo professionals, reskillers, and employees of companies in the geo sector who want to develop their skills in QGIS and Python.
The QGIS And Python course is a 3-day training in which you work intensively on improving your GIS and Python skills.
Python provides powerful capabilities for automation, developing custom tools and functions, and efficiently processing geospatial data in QGIS.
Yes, the course includes practical exercises where you will learn how to write and deploy Python scripts within QGIS, and how to develop your own plugins and tools.
The course focuses on understanding QGIS and Python interoperability, data management and analysis, automating tasks in QGIS with Python, and developing QGIS plugins with Python.
You will learn to write Python scripts for QGIS, manage and analyze geographic data, automate tasks and develop QGIS plugins.
Yes, after the course you can still ask questions to the teacher via email for two weeks, and there is also the option for Online Support for practical problems.
The course days are from 9:00 AM to 4:00 PM, including coffee, tea, lunch and a laptop. Online participation is also possible.
Yes, the course can be given on location. The teacher will bring laptops and you only have to arrange a classroom.