Total study time: 24 hours
What can you uncover when you combine urban geodata with the power of GIS and Python? In this 1-on-1 course, you’ll explore the world of spatial analysis and learn how to reveal hidden patterns using smart scripts and interactive maps. With personal guidance and online modules, you’ll build the skills to confidently apply modern tools and techniques in urban data analysis.
As cities grow more complex, they face challenges like traffic congestion, air pollution, energy transition, and population growth. To understand and solve these issues, one powerful combination stands out: GIS and Python.
GIS (Geographic Information Systems) lets you collect, manage, analyze, and visualize geospatial data. It helps you uncover spatial relationships and transform raw data into actionable insights. For example, you can map traffic hotspots, track neighborhood development, or pinpoint areas that need more green space.
Python takes your GIS work further. This flexible programming language lets you automate processes, manage large datasets, and run spatial analyses more efficiently. With tools like ArcPy and Model Builder, you can create workflows that are both reusable and reliable—saving time while reducing errors.
This blended learning course helps you take control of urban data. Whether you’re expanding your GIS experience or just starting with geospatial scripting, you’ll build a solid foundation in Python and gain hands-on skills for tackling real urban challenges.
In this course, you’ll learn how to analyze urban social and environmental issues using GIS and Python. You’ll explore where challenges exist in cities—such as unequal access to public services, mobility, or green infrastructure—and turn raw data into meaningful visualizations.
You’ll use both basic and advanced GIS tools, including buffer analysis, overlays, classifications, and suitability mapping. These techniques will help you carry out focused and effective urban spatial analysis.
You’ll also gain experience with automation. Using ArcPy and Model Builder, you’ll build repeatable workflows that boost accuracy and efficiency. You’ll write custom Python scripts that expand your GIS capabilities and prepare you for more advanced scripting and algorithm development.
A key part of the course is working with satellite imagery. You’ll use Python to analyze remote sensing data and identify patterns like urban growth, land use changes, or environmental stress.
In short, you’ll combine theory with hands-on assignments using real urban datasets. The skills you develop are directly applicable to sectors such as spatial planning, sustainability, mobility, and smart city development.
Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can build real, job-ready skills in GIS and Python for urban data analysis.
We start with a live session where you’ll dive into urban data from day one. Guided by experts, you’ll run spatial analyses, automate GIS tasks, and design efficient workflows tailored to real-world challenges.
Next, our self-paced modules let you deepen your skills at your own pace. You’ll explore ArcPy scripting, Model Builder, remote sensing, and urban spatial data workflows. You’ll also practice using satellite imagery to detect change and assess city development.
Later, in a second live session, you’ll put your skills to the test. You’ll work through realistic scenarios—such as mapping access to green spaces or evaluating infrastructure needs—and get personalized feedback to fine-tune your approach.
A highlight of this course is its case-based learning. You’ll complete projects that mirror real-life urban analysis work, giving you practical outputs you can use immediately.
By combining expert instruction with flexible learning, this course helps you go beyond the basics. You’ll graduate with the confidence to automate tasks, analyze complex urban datasets, and turn spatial insights into smart, actionable decisions.
After completing this course, you’ll 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.