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Course Outline

Introduction to GIS and ArcGIS

  • Understanding the core concepts of Geographic Information Systems
  • Getting started with the ArcGIS platform and its key components
  • Establishing a project framework in ArcGIS Pro

Working with Spatial Data

  • Distinguishing between data formats: raster versus vector
  • Importing and organizing geospatial datasets
  • Managing and interpreting attribute tables

Creating and Visualizing Maps

  • Designing fundamental maps and layout compositions
  • Applying symbols and labels to map features
  • Configuring basemaps and data layers

Spatial Analysis Techniques

  • Conducting buffer and overlay analyses
  • Executing spatial queries
  • Performing network and proximity analyses

Advanced Geoprocessing and Automation

  • Exploring the capabilities of ModelBuilder
  • Automating processes using Python within ArcGIS
  • Leveraging advanced geoprocessing tools and strategies

Data Management and Sharing

  • Building and managing geodatabases
  • Collaborating and sharing maps and data via ArcGIS Online
  • Deploying services through ArcGIS Server

Applications of ArcGIS

  • Examining real-world use cases in urban planning, environmental studies, and business intelligence
  • Reviewing case studies and engaging in project-based learning

Summary and Next Steps

Requirements

  • Foundational knowledge of geographic principles
  • Comfort with Windows-based software applications
  • Previous experience in data analysis is advantageous but not mandatory

Target Audience

  • GIS specialists
  • Urban development planners
  • Analysts and researchers focusing on geospatial intelligence
 35 Hours

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