Course Outline:

Module 1: Introduction to Python for ArcGIS

• Installing Python and understanding Python environments in ArcGIS

• Python syntax, variables, data types, and structures

• Accessing ArcGIS Pro’s Python window and Jupyter Notebooks

• Writing your first Python script for GIS
  Case Study: Writing a script to automate the creation of project folders and templates

Module 2: Working with Spatial Data using ArcPy

• Introduction to ArcPy site package

• Accessing and listing spatial data

• Describing datasets and reading metadata

• Reading and writing shapefiles and geodatabases
  Project: Automate spatial data inventory for a local government office

Module 3: Automating Map Production and Layouts

• Working with map documents and layers

• Updating layer symbology, labels, and data sources

• Exporting maps as images or PDFs via scripting

• Batch processing map outputs
  Case Study: Automating weekly map production for environmental reports

Module 4: Performing Geoprocessing with Python

• Buffering, clipping, merging, and dissolving features

• Using spatial joins and overlays programmatically

• Error handling and batch processing

• Working with feature selections and attribute queries
  Project: Analyze land use impacts on protected areas using scripted geoprocessing

Module 5: Spatial Analysis and Modeling

• Raster vs. vector-based analysis

• Calculating area, distance, and statistics with ArcPy

• Running spatial analyst tools (slope, elevation, etc.)

• Combining layers to create suitability models
  Case Study: Building a land suitability model for agricultural development

Module 6: Automating Data Management Tasks

• Field calculation and attribute manipulation using Python

• Schema inspection and editing (fields, domains, subtypes)

• Managing file naming, versioning, and backups
  Project: Automate field calculations for socio-economic GIS indicators

Module 7: Advanced Feature Class Operations

• Creating new features programmatically

• Reading and writing geometries using cursors

• Performing spatial selections and conditional updates
  Case Study: Automate the creation of buffer zones for a utility company

Module 8: Creating Custom Tools and Script Tools

• Designing user-friendly tools using ArcGIS Toolbox

• Embedding Python scripts into tools

• Adding parameters and validations

• Sharing and documenting script tools
  Project: Create a custom tool for analyzing service accessibility zones

Module 9: Integrating External Data and APIs

• Reading external data formats (CSV, Excel, JSON)

• Using web APIs for real-time data (weather, traffic, etc.)

• Combining API data with local GIS layers
  Case Study: Integrate climate data API for dynamic flood risk mapping

Module 10: Capstone Project and Final Presentation

• Application of scripting and analysis skills to a real-world issue

• Group or individual final project

• Peer review, presentation, and instructor feedback
  Capstone Project: Develop a full Python-based GIS analysis workflow for urban heat island mapping using satellite and census data