Professional training – Embedded, IoT, Automation & GIS
Geospatial Data with Python
Geospatial Data with Python in 6 focused hours: GeoPandas und Shapely, Rasterdaten mit rasterio and Projektionen mit pyproj – practical, with exercises and templates for your daily work.
- Duration
- 6 hours, one session
- Level
- Intermediate
- Format
- Online or on-site
- Language
- German or English
- Certificate
- Certificate of attendance
Overview
“Geospatial Data with Python” is a compact live course in the field of Embedded, IoT, Automation & GIS. It centres on GeoPandas und Shapely, Rasterdaten mit rasterio and Projektionen mit pyproj – explained with realistic examples and deepened in exercises you can transfer straight to your daily work.
Whether machine control, microcontrollers, sensor networks or geodata analysis: in these fields software, hardware and real-world processes come together. Our courses teach Geospatial Data with Python along concrete tasks, from the first working example to robust use in operation. You program, configure and test step by step, learn typical failure patterns and apply proven patterns for clean, maintainable solutions. Exercise projects, sample code and checklists make it easy to transfer the skills to your daily work. Delivered online or on site, at a fixed price per participant.
The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.
Focus areas of the course
Who is this course for?
- Automation technicians, commissioning engineers and maintenance staff
- Embedded developers, electrical engineers and software developers
- Geodata users, surveyors, planners and environmental specialists
- Students, career changers and team leads in engineering and IT
What you will be able to do
- You know the key topics of Geospatial Data with Python – GeoPandas und Shapely, Rasterdaten mit rasterio, Projektionen mit pyproj, Räumliche Joins und Overlays, Karten mit Folium und Matplotlib and Automatisierung mit PyQGIS und ArcPy – and can apply them in practice.
- You use Geospatial Data with Python confidently for typical tasks in your field.
- You build structured, maintainable solutions instead of quick one-off tricks.
- You find errors systematically and test your solutions before deployment.
- You integrate Geospatial Data with Python cleanly into existing systems and workflows.
Course outline
Module 1 Fundamentals and tools of Geospatial Data with Python
- Where Geospatial Data with Python fits in the overall technical system
- Installation, development environment and project structure
- Key terms, concepts and data models
- A first working example with Geospatial Data with Python
Module 2 Focus areas: Geospatial Data with Python
- GeoPandas und Shapely
- Rasterdaten mit rasterio
- Projektionen mit pyproj
- Räumliche Joins und Overlays
- Karten mit Folium und Matplotlib
- Automatisierung mit PyQGIS und ArcPy
Module 3 Implementation and configuration
- Building typical applications with Geospatial Data with Python step by step
- Interfaces to sensors, devices, data and services
- Proven patterns and conventions
- Typical failure patterns and systematic troubleshooting
Module 4 Testing, operation and security
- Testing, simulating and debugging solutions
- Stability, performance and resource usage
- Basics of hardening and access control
- Documentation and handover to operations
Module 5 Practice project and transfer
- End-to-end project with Geospatial Data with Python from your environment
- Automating recurring tasks
- Integration into existing systems and processes
- Standards and work instructions for your team
Module 6 Transfer to your daily work
- Exercise based on a realistic case
- Typical mistakes and how to avoid them
- Checklist and templates to take away
- Open questions, outlook and resources for further learning
Prerequisites
Basic technical understanding and confident computer use are enough for beginner courses. Advanced courses require hands-on experience with the topic. Basic knowledge of the topic is helpful.
Technical requirements
Laptop with administrator rights; software, simulators and hardware alternatives are provided as a test or training environment.
Dates & locations
For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.
- Munich Mon, 14 December 2026 6 hrs Request
- Salzburg Thu, 10 December 2026 6 hrs Request
- Berlin Thu, 10 December 2026 6 hrs Request
- Augsburg Thu, 10 December 2026 6 hrs Request
- Hanover Fri, 11 December 2026 6 hrs Request
- Bremen Thu, 10 December 2026 6 hrs Request
- Stuttgart Mon, 14 December 2026 6 hrs Request
- Kaiserslautern Mon, 14 December 2026 6 hrs Request
- Online Thu, 10 December 2026 6 hrs Request
Frequently asked questions
Do I need my own hardware or licenses for Geospatial Data with Python?
Usually not. We provide simulators, trial licenses, virtual environments or hardware alternatives, as far as the vendor allows. If your company is already equipped, you can use your own installation. We clarify the requirements with you in advance.
Can we practice Geospatial Data with Python on our own use cases?
Yes, gladly. We base exercises on your typical use cases, provided data and projects are cleared for sharing. Where needed we replace confidential content with comparable examples so that all participants work on equal terms and no confidentiality issues arise.
How much does “Geospatial Data with Python” cost?
The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.
Can I suggest my own date?
Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.
Is the course online or on-site?
Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.
Can the course be tailored to our team?
Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.