What does the training include?
Day 1:
Introduction to GIS and Geodata: What is GIS, and how can you use Python to work with geographic data?
Map Projections and Coordinates: Learn about the most commonly used projections such as RD and WGS 84, and how to apply them in your analyses.
Visualization with GeoPandas and Plotly-Express: Create your first geospatial visualizations and discover how to turn geographic data into informative maps.
Day 2:
Spatial Analysis: Learn how to perform different analyses, such as point-in-polygon queries and spatial joins, for location-based decision-making.
Working with Public Geodata: Use various open data sources, such as PDOK and the Dutch Cadastre, to enrich and visualize your data.
QGIS for Interactive Visualizations: Learn how to create visualizations you can share online, and how to use QGIS for advanced data analysis and visualization.
Why this training?
Hands-on and practical: The training includes hands-on labs and real-world use cases, so you can immediately apply what you learn.
Expert guidance: You'll be guided by Victor de Graaff, an experienced data engineer and geospatial expert, who will share his knowledge and help you tackle your challenges.
Interactive and shareable visualizations: Learn how to create interactive maps that are easy to share — ideal for presentations or policy analysis.
For whom?
Data scientists, analysts, and developers who want to learn how to work with geospatial data and analyses in Python.
Organizations using geodata for decision-making, marketing, or urban planning, and looking for efficient ways to visualize and share it.
Anyone who wants to harness the power of Python for GIS applications — from beginners to advanced users.
