Total study time: 24 hours
What can you uncover when you combine geospatial data with the power of machine learning? In this one-on-one online course, you’ll dive into location-based datasets, build your first models, and learn how to reveal hidden patterns. You’ll work independently—while receiving personal guidance—on practical assignments you can apply right away in your field.
Machine learning is transforming the way we analyze, predict, and interpret data. Python has become the go-to language in this field, thanks to its flexibility and powerful libraries. Increasingly, these tools are being used with geospatial data—data linked to specific locations—to uncover insights that traditional analysis can’t provide.
Geospatial data is everywhere—from satellite imagery and sensor networks to interactive maps and urban planning models. When combined with machine learning, these datasets unlock new opportunities in environmental management, infrastructure, mobility, and spatial planning.
This fully online, blended learning course helps you build a strong foundation in data-driven decision-making with Python and geospatial tools.
In this course, you’ll learn how to analyze geospatial data using Python. You’ll start with the basics of machine learning and discover how to apply these techniques to real geographic datasets from GIS systems and open data sources.
First, you’ll get hands-on with Python libraries like pandas, geopandas, and scikit-learn—the core tools for spatial data processing and modeling. Then, you’ll build more advanced applications such as pattern recognition, predictive modeling, and location-based segmentation.
You’ll also learn how to clean raw data, engineer meaningful features, and train models that respond to spatial variables. Along the way, you’ll visualize your results through charts and maps, making your insights clear and actionable.
Throughout the course, you’ll work on practical challenges from real-world domains such as mobility, land-use planning, and environmental monitoring. This helps you build not only technical skills but also the confidence to apply them in your day-to-day work.
Blended learning gives you the best of both worlds—live expert support and flexible, self-paced study—so you can build practical, job-ready skills using Python and machine learning.
We kick off with a live virtual session where you’ll jump right into working with real geodata. With guidance from GIS and data science professionals, you’ll learn how to prepare data, train your first models, and present your findings visually.
Next, our self-paced online modules let you deepen your skills at your own pace. You’ll explore spatial features, clean and organize messy datasets, and train models using scikit-learn, pandas, and geopandas. You’ll also learn how to create maps and charts that communicate your results effectively.
Then, in a second live session, you’ll apply your knowledge to realistic spatial analysis challenges. You’ll troubleshoot, refine your workflow, and receive personalized feedback on your results.
A key feature of this course is its case-based approach. You’ll create usable outputs—such as prediction maps, automated workflows, and model summaries—that you can bring into your current projects right away.
By combining expert-led instruction with flexible online learning, this course prepares you to go beyond the basics. By the end, you’ll be able to independently analyze geospatial data, build predictive models, and turn spatial patterns into smarter decisions.
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.