Automate the ArcGIS work you currently do by hand.

If you use ArcGIS regularly, you know how much of the job is repetition: the same buffer, the same clip, the same export, run again on next month's data. ArcPy is Esri's Python library for making that work run itself, and this course is a focused, practical introduction to it.

You will start with the ArcPy environment and the Python window, then move through vector workflows - selections, buffers, overlays, clipping and data extraction - before working with raster data and map algebra. Two extended examples take you through real analysis: calculating NDVI from Landsat 8 imagery, and building a Land Surface Temperature workflow as a custom ArcPy toolbox you can reuse.

What you will be able to do

• Write, modify and debug ArcPy scripts with confidence

• Batch-process many layers instead of repeating tools one file at a time

• Derive NDVI and LST from Landsat imagery

• Package your scripts as ArcPy toolboxes your colleagues can run too

What you get

• Hands-on examples built on real Landsat imagery

• A quiz after every section to check your understanding

• Reusable toolboxes you can adapt to your own projects

Before you enrol - please read

The lectures are demonstrated in ArcMap, not ArcGIS Pro. The ArcPy scripting itself - cursors, geoprocessing calls, raster handling, toolbox creation - carries over to ArcGIS Pro, but the interface you see on screen will be ArcMap, and a few map-document functions differ between the two. Please take that into account before enrolling.

This is also an intermediate course. You should already be comfortable with GIS concepts and know basic Python - variables, loops and functions. You do not need any previous ArcPy experience, and you will need access to ArcGIS on a Windows PC.

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 turn your repetitive ArcGIS tasks into scripts that run themselves.