Repetitive geoprocessing is where GIS work quietly consumes days, and scripting is how that changes. This course starts from Python fundamentals, then moves into ArcPy and PyQGIS to batch process vector and raster layers, calculate remote sensing indices, and generate map layouts without touching the interface.

This Course Offers

• Environment setup with Miniconda, Jupyter Notebook, and QGIS, installed step by step in the opening section
• Python fundamentals covering variables, loops, functions, and data handling with Pandas, taught from scratch
• ArcPy and PyQGIS for automating geoprocessing and batch processing vector and raster layers
• Remote sensing indices including NDVI calculated directly from satellite imagery, plus zonal statistics across your own boundaries
• Complete workflows for Leaf Area Index analysis and Land Surface Temperature analysis, plus a computer vision script that detects and counts individual plants

Why We Love This Course

1. No Python experience is required, so it works for GIS professionals rather than developers.
2. It targets the specific frustration of repeating the same steps across dozens of files.
3. Real datasets and downloadable scripts are provided, so you work with actual spatial data.
4. Dr. Azad Rasul is a geospatial data scientist with over 150,000 students, so the material comes from applied practice.

GIS skills become far more valuable when the work runs automatically, especially for anyone handling satellite imagery or repeated analysis. Do you want to clip and reproject the same layers again next week, or write a script that handles it? Enrollment is open, and a Windows PC is needed.

• This course is perfect for GIS professionals repeating the same geoprocessing steps weekly.
• It suits geospatial analysts moving from desktop clicking to reproducible, code based workflows.
• Data scientists adding spatial data to their toolkit, and students or researchers in geography, agriculture, forestry, or environmental science, will find the practical projects directly useful.

• A Windows PC is needed, since the course uses ArcPy and QGIS, both installed step by step in the first section.
• No Python experience is required, as the course starts from variables, loops, and functions.
• Miniconda, Jupyter Notebook, and QGIS are free and set up together in the opening lectures.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.