Given the increasing amounts of open geospatial and remotely-sensed data and the vast amount of information it provides, GIS is an essential instrument for geographers, engineers, geologists, architects, ecologists, and agronomists who recognize the complex operations required to wrangle, analyze, and visualize their data.

If you're a professional using GIS in your daily work and already have some knowledge of Python, QGIS—aligned with Python—will give you compelling opportunities to streamline workflows and maximize your data analysis and manipulation.

This course will get you up-and-running with geospatial analysis using QGIS 3.10 and Python.

Learn how to use data queries, create a 3D map on a web server, and interact with Python and QGIS. You will learn to distinguish between vector and raster layers; which will give you flexibility when considering data sources and processing methods for problem-solving. While understanding how to process remote sensing data and output terrain maps, and customize and automate geo-processes effectively for your work.

By the end of the course, you will be able to use QGIS 3.10 and Python together to create interactive geospatial maps.

About the Author

Jane Wang is a Geospatial Developer and Master in Geospatial Sciences with experience in research, teaching, data analysis, and visualizations. She has 6 years' professional experience in Academia and spent 4 years working with geospatial products and communicating scientific information in appealing visual outputs using GIS, Python, R, and Adobe Suite.

She has been awarded for her creative and novel geospatial work at international conferences and is also an active member of the Geomatics community. She has actively communicated with, and taught, a wide-ranging audience.