Web mapping and data visualization make complex geodata understandable and accessible to a wide audience. In this course, you’ll learn how to develop interactive maps, dashboards, and visual analyses using Python. You’ll work with modern web mapping and visualization libraries such as Folium, Leaflet, Plotly, and Kepler.gl to transform data into clear insights. This will help you develop practical skills for presenting and communicating geospatial information.
Maps and visualizations are essential for making geodata understandable and accessible. By presenting geographic information interactively, patterns, trends, and relationships can be identified more quickly and communicated to users, customers, and decision-makers.
In this blended learning course, you’ll learn how to develop interactive maps, dashboards, and geospatial visualizations using Python. You’ll work with modern web mapping and visualization tools to transform geographic data into clear and engaging applications.
The course is suitable for GIS professionals, data analysts, developers, and anyone who wants to present geospatial data effectively. Thanks to the hands-on approach, you’ll not only learn the theory but also immediately build interactive maps and visualizations that can be applied in real-world scenarios.
In this blended learning course, you’ll learn the fundamentals of web mapping and data visualization with Python. You’ll start by visualizing geographic data and learn how to apply different map types and visualization techniques.
Among other things, you’ll learn to work with Folium, Leafmap, Geemap, and IPyLeaflet to develop interactive maps. You’ll then discover how to combine geodata with background maps, map layers, and user interaction.
You’ll also work with visualization libraries such as Matplotlib, Plotly, Bokeh, KeplerGL, and Datashader. You’ll learn how to develop dashboards, visualize large datasets, and present geospatial insights in an understandable way. You’ll also gain insight into building web-based map applications for a wide range of GIS challenges.
In short: this course is ideal for anyone who wants to transform geodata into interactive maps, dashboards, and powerful visual insights.
Blended learning combines independent online learning with hands-on guidance. You’ll have access to online course materials that allow you to learn at your own pace how to work with interactive maps, dashboards, and geospatial visualizations. The theory is supported by practical assignments, so you can immediately practice with realistic datasets.
During the guided sessions, you can ask questions, get additional explanations, and work on assignments that align with applications in GIS, data analysis, and web mapping. You’ll learn how to develop maps, build visualizations, and present geographic information for various audiences.
Upon completion of this course, you’ll have a solid foundation in web mapping and data visualization with Python. You’ll be able to independently build interactive maps, develop dashboards, and present geospatial insights in a professional manner.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
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.
More and more organizations want not only to analyze geodata, but also to make it accessible to colleagues, customers, and citizens. Web mapping makes it possible to provide interactive maps, dashboards, and geoportals via a browser. As a result, GIS is increasingly shifting from desktop software to web-based applications that can be easily shared and used.
A GIS analysis focuses on processing and analyzing geographic data. Geovisualization is about presenting those results in a way that is easy to understand. Good visualization makes complex datasets easier to understand and helps users recognize patterns, trends, and relationships more quickly. Both disciplines complement each other and are essential in modern geo-projects.
Web mapping is used in asset management, mobility, smart cities, climate monitoring, infrastructure, public spaces, real estate, and policy-making. Organizations use interactive maps and dashboards to make sense of large amounts of geodata and make more informed decisions.
You'll learn how to develop interactive maps, dashboards, and geovisualizations using Python. You’ll also discover how to present geodata using modern tools such as Folium, Leafmap, Plotly, Bokeh, and KeplerGL. This will help you develop skills that are becoming increasingly important in GIS, data analysis, web development, and location intelligence.
