What can you discover when you combine geospatial data with the power of machine learning in Python? In this one-on-one course, you’ll dive into location-based datasets, build your first models, and learn how to uncover hidden patterns. You’ll work independently and with personalized guidance on assignments that you can immediately apply in real-world scenarios.
Machine learning plays an increasingly important role in how we analyze, predict, and interpret data. Within this field, Python has become the standard language due to its flexibility and vast array of libraries. These techniques are increasingly being applied to geospatial data—data with a location component—to gain insights that go beyond traditional analytical methods.
Geospatial data is everywhere: from satellite imagery and sensor data to interactive maps and urban planning models. Combining these datasets with machine learning creates new opportunities in fields such as environmental management, infrastructure, mobility, and urban planning.
This blended learning course responds to this trend and provides a solid foundation for those active in the world of geoinformation who want to make the transition to data-driven decision-making.
During this blended learning course, you’ll discover how to use Python for data analysis on geospatial data. You’ll gain a clear understanding of how machine learning works and how to apply these techniques to geographic datasets that often originate from GIS systems or public data sources.
The course begins with the fundamentals of machine learning. You’ll learn to work with popular Python libraries such as scikit-learn, pandas, and geopandas, which are essential for processing and analyzing geographic information. From there, you’ll develop increasingly complex applications, such as pattern recognition, making predictions, and segmenting data based on location.
You’ll learn to convert raw geospatial data into actionable insights, how to train models based on geographic features, and how to visualize these insights on maps and in graphs. All these components are linked to real-world challenges in the field, such as mobility, urban planning, and environmental management, so that you not only learn the technology but also how to apply it effectively.
Blended learning combines independent online learning with practical, interactive sessions. This way, you gain both theoretical knowledge and practical experience with machine learning and Python applications on geospatial data. The online modules give you the freedom to learn at your own pace. They include interactive lessons on data analysis, Python programming, and processing geospatial datasets. You’ll discover how to use Python libraries such as scikit-learn, pandas, and geopandas to prepare data, train models, and visualize insights.
During the hands-on online sessions, you’ll immediately apply your knowledge. You’ll work with realistic geospatial data. Under the guidance of experienced specialists in geoinformation and data science, you’ll practice with assignments that reflect real-world scenarios. You’ll learn how to process geospatial data in a structured way, how to apply machine learning to location-based data, and how to clearly present results in maps and graphs. By working with relatable examples, you’ll build practical skills you can put to use right away.
The combination of flexible online learning and targeted practical training ensures both depth and applicability. You’ll not only learn to work with Python and machine learning, but also how to effectively apply them to realistic geospatial projects. After this course, you’ll be able to independently analyze geographic datasets, build models, and translate insights into well-founded decisions in your field.
Is blended learning not your style? No problem—take the Machine Learning with Python course at Geo-ICT, either in a classroom setting or online with an instructor.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
After completing this course, you will be able to:
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
After the course, you’ll have another two weeks to ask the instructor questions. Since the instructor is already teaching other courses, it’s best to email your questions to info@geo-ict.nl. Your question will be forwarded to the instructor, and you’ll receive a response within 24 hours.
If you’re a bit further along and encounter practical problems you can’t solve on your own, it’s best to use Online Support. You’ll spend one day online with the instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.
If you run into problems in practice that you can’t solve on your own, you have two options: you can sign up for a beginner or advanced course, or you can sign up for Online Support.
You’ll spend a day online with an instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.
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All courses are taught in person. Course hours are from 9:00 AM to 4:00 PM. Coffee, tea, lunch, and a laptop are provided.
Taking a course online is also possible, but we only offer hybrid courses in exceptional cases. If you wish to participate in a course online, please indicate this during registration—select “Online” as the location. If that is not possible, this course will only be offered on-site in Apeldoorn.
Yes, we do this regularly. Our instructor will come to your location and bring laptops for the participants. All you need to do is arrange a classroom at your location.
Please email your requirements to info@geo-ict.nl, and we will send you a quote. Once you’ve confirmed the order, our course coordinator will contact you to schedule the training days.
After each course, participants receive a link to our evaluation portal. There, you can share your feedback on what you liked and didn’t like about the course. We always do our very best, but of course, there may be times when you have a complaint. Click on “Complaints Procedure.” It explains what steps you can take. Geo-ICT Training Center, Netherlands is a member of the Dutch Council for Training and Education (NRTO).
After the course, we will email you a link to our evaluation portal. There, you can log in and fill out an evaluation form, and you can also download your certificate of participation.
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