Objective: Develop advanced GIS skills, including spatial analysis and data management.

Key Topics:

• Spatial analysis
• Data Conversion
• Proximity analysis.
• Geodatabase creation and management.
• Automating GIS workflows using Python (e.g., GeoPandas, ArcPy).
• 3D mapping and terrain analysis.
• Remote sensing integration with GIS.

Target Audience: Intermediate learners with a basic understanding of GIS.

Objective: Provide a foundational understanding of GIS concepts, tools, and applications.

Key Topics:

• Basics of GIS: Definitions, components, and applications.
• Coordinate systems and map projections.
• Spatial data types: Raster vs. vector.
• Introduction to GIS software (e.g., QGIS, ArcGIS).
• Data visualization: Creating and interpreting maps.
• Data Collection
• Data Pre-Prosessing

Target Audience: Beginners or anyone new to GIS.