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What You'll Learn

Automate repetitive GIS tasks with ArcPy and PyQGIS
turning hours of manual clicking into scripts that run in seconds,Process vector and raster layers in Python - clipping
reprojecting
buffering and batch-converting across entire folders,Calculate remote sensing indices such as NDVI and run zonal statistics to measure crop health and environmental change,Build capstone projects on Leaf Area Index
Land Surface Temperature
and plant detection using computer vision,Generate and export professional map layouts automatically
without opening the GIS interface,Handle and summarise geospatial tables with Pandas and NumPy
then visualise the results as charts

Requirements

A Windows PC - the course uses ArcPy and QGIS
installed step by step in the first section,No Python experience required; the course starts from variables
loops and functions,Miniconda
Jupyter Notebook and QGIS are free and set up together in the opening lectures,An interest in maps
satellite imagery or spatial data - no GIS certification needed

Description

Stop clicking. Start scripting.

If you work with spatial data, you already know the pattern: open the GIS, clip the layer, reproject it, run the same tool on forty files, export the map, repeat next week. This course replaces that routine with Python.

You will start by setting up a clean working environment with Miniconda, Jupyter Notebook and QGIS, then learn just enough Python - variables, loops, functions, and data handling with Pandas - to be productive with geospatial data. From there you move into ArcPy and PyQGIS to automate geoprocessing, batch-process vector and raster layers, and generate finished map layouts without touching the interface.

What you will build

NDVI and other remote sensing indices calculated straight from satellite imagery
Zonal statistics that summarise raster values across your own boundaries
A Leaf Area Index (LAI) analysis workflow
A Land Surface Temperature (LST) analysis workflow
A computer vision script that detects and counts individual plants

What you get

Downloadable scripts and datasets so you can follow along with real data
Quizzes after each major section to check your understanding
Code you can adapt directly to your own projects

No prior Python experience is needed. You will need a Windows PC and an interest in GIS - everything else is installed together in the first section.

Taught by Dr. Azad Rasul, a geospatial data scientist and Assistant Professor, with over 150,000 students enrolled across his Udemy courses.

Enrol now and start turning your manual GIS workflows into scripts that run themselves.

Who this course is for:

GIS professionals who repeat the same geoprocessing steps every week and want to script them instead,Geospatial analysts moving from desktop clicking to a reproducible
code-based workflow,Data scientists who want to add spatial data and satellite imagery to their Python toolkit,Students and researchers in geography
agriculture
forestry or environmental science who need repeatable analysis,Python users curious about maps and remote sensing who do not know where to start with spatial data,Anyone who has used QGIS or ArcGIS by hand and wants that work to run automatically