Course Outline:

Module 1: Introduction to ArcGIS Pro and GIS Concepts

• Overview of GIS and spatial data types

• Introduction to ArcGIS Pro interface and project structure

• Working with maps, layers, and views

• Accessing Esri basemaps and online data
  Case Study: Creating a base map for a district land management agency

Module 2: Working with Spatial and Attribute Data

• Importing and converting data (shapefiles, Excel, CSV, geodatabases)

• Understanding coordinate systems and projections

• Using the attribute table and field calculator

• Data cleaning and management best practices
  Project: Preparing geospatial data for a demographic analysis project

Module 3: Editing and Creating Features

• Editing tools for points, lines, and polygons

• Creating and updating feature classes

• Using snapping, templates, and topology rules

• Data accuracy and quality control
  Case Study: Digitizing land parcels for a municipal cadastral system

Module 4: Symbolization and Cartographic Design

• Applying symbology based on attributes

• Labeling features and using annotation

• Creating layouts and map series

• Exporting and sharing maps (PDF, image, web)
  Project: Designing a thematic map for a tourism board showcasing attractions

Module 5: Spatial Analysis with Geoprocessing Tools

• Using buffer, intersect, union, and clip tools

• Introduction to geoprocessing models

• Workflow automation basics with ModelBuilder

• Managing intermediate and output data
  Case Study: Analyzing healthcare accessibility using buffer analysis

Module 6: Geocoding and Network Analysis

• Address geocoding using ArcGIS tools

• Creating and analyzing network datasets

• Service area and route analysis

• Applications in logistics and service delivery
  Project: Planning optimal routes for school transportation in a rural district

Module 7: Raster Data Analysis and Surface Modeling

• Understanding raster data formats (elevation, satellite imagery)

• Spatial interpolation and surface analysis

• Hillshade, slope, aspect, and viewshed analysis

• Raster calculator and reclassification
  Case Study: Land suitability analysis for agricultural expansion

Module 8: Spatial Statistics and Hotspot Analysis

• Spatial autocorrelation and clustering techniques

• Using tools like Moran’s I, Getis-Ord Gi*, and Kernel Density

• Identifying patterns and spatial outliers

• Applying spatial statistics in planning and public health
  Project: Detecting crime hotspots in an urban area for policing strategy

Module 9: Automating GIS Workflows with Python and ModelBuilder

• Introduction to Python in ArcGIS (ArcPy basics)

• Writing scripts to automate repetitive tasks

• Building and sharing geoprocessing models

• Practical scripting tips and error handling
  Case Study: Automating daily map updates for a utility network

Module 10: Real-World GIS Project and Final Presentation

• Integrating all skills learned into a single project

• Team or individual project execution

• Peer review and feedback session

• Presentations and final evaluation
  Capstone Project: Develop a GIS solution for disaster response mapping (e.g., flood impact assessment)