Total study time: 24 hours
How can you automate geospatial data analysis with Python and GDAL? In this one-on-one course, you’ll learn how to streamline GIS workflows using Python and handle data processing and conversion efficiently with GDAL. Through a mix of flexible online modules and interactive sessions, you’ll work with real datasets and immediately apply your skills to practical scenarios.
Python and GDAL are powerful tools for processing, analyzing, and visualizing geospatial data. Python is a versatile programming language, widely used in GIS thanks to libraries like GeoPandas, Rasterio, and Shapely. With these, you can run spatial analyses, automate repetitive tasks, and process large datasets with ease.
GDAL (Geospatial Data Abstraction Library) is an open-source toolkit built to manage and convert geospatial file formats. It supports a wide variety of raster and vector formats and includes features like map projections and coordinate transformations. This makes it ideal for working with high volumes of spatial data, particularly in fields like urban planning, environmental monitoring, and hydrological modeling.
Together, Python and GDAL offer a flexible and scalable approach to geospatial analysis. They are essential tools for professionals working in GIS, remote sensing, and spatial data science.
In this course, you’ll learn to process and analyze geospatial data using Python and GDAL. Python will help you automate GIS workflows and analyze complex datasets, while GDAL will enable you to convert, edit, and prepare spatial data for use in GIS platforms.
You’ll start with Python fundamentals for GIS and learn to write scripts that process and analyze spatial information. Then, you’ll dive into GDAL, where you’ll manipulate raster and vector files and prepare data for visualization and further analysis.
You’ll also explore ways to optimize workflows, automate repetitive steps, and work more efficiently with large-scale geodata. Through hands-on exercises and realistic case studies, you’ll not only understand the concepts—you’ll use them in real-world contexts.
Blended learning gives you the best of both worlds—live expert interaction and flexible, self-paced study—so you can build practical, job-ready skills in geospatial automation.
We kick off with a live session where you’ll work directly with real-world datasets. Guided by experienced instructors, you’ll start writing Python scripts, using GDAL to process spatial files, and exploring how to apply these tools in your daily work.
Next, you’ll move into our self-paced modules, where you’ll dig deeper into Python programming, GDAL commands, and data transformation techniques. Along the way, you’ll learn how to automate tasks and handle large geospatial datasets more efficiently.
Then, in a second live session, you’ll apply your skills to realistic scenarios. You’ll troubleshoot common issues, improve your scripts, and receive personalized feedback to strengthen your workflows.
One of the course’s standout features is its focus on real-world application. You’ll build reusable tools—like automation scripts and processing workflows—that can be applied immediately in your job.
By combining flexible learning with expert support, this course prepares you to go beyond the basics. By the end, you’ll know how to use Python and GDAL confidently to speed up your GIS work and deliver smarter, faster results.
After completing this course, you will be able to:
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.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.