Course Title: Beginner Geospatial Analysis with Python & QGIS

📅 Duration: 4 Weeks (Twice a Week)
🖥 Format: Online Live Sessions + Hands-on Assignments

Week 1: Introduction to Geospatial Data & GIS Basics

📌 Session 1:

• Introduction to Geospatial Data & GIS (Geographic Information Systems)

• Types of Geospatial Data (Vector vs. Raster)

• Coordinate Reference Systems (CRS) & Map Projections

• Setting Up GIS Tools (QGIS Installation & Basics)

• Mini Project: Creating a Simple Map in QGIS

📌 Session 2:

• Working with Geospatial Data Formats (Shapefiles, GeoJSON, KML, GeoTIFF)

• Introduction to Open-Source GIS Tools (QGIS, GDAL, PostGIS)

• Loading and Visualizing Geospatial Data in QGIS

• Mini Project: Importing & Styling a Vector Layer in QGIS

Week 2: Introduction to Python for Geospatial Analysis

📌 Session 3:

• Introduction to Geospatial Python Libraries (geopandas, shapely, folium)

• Loading and Manipulating Spatial Data in Python

• Basic Spatial Operations (Buffer, Clip, Merge, Dissolve)

• Mini Project: Plotting Geospatial Data with geopandas

📌 Session 4:

• Mapping & Visualization with matplotlib & folium

• Adding Layers & Customizing Map Styles

• Exporting Maps to Web Applications

• Mini Project: Creating an Interactive Web Map with folium

Week 3: Spatial Analysis & Remote Sensing Basics

📌 Session 5:

• Spatial Joins & Geoprocessing Operations

• Distance Calculations & Proximity Analysis

• Introduction to Terrain & Elevation Data (Digital Elevation Models - DEMs)

• Mini Project: Analyzing the Nearest Services to a Location

📌 Session 6:

• Introduction to Remote Sensing & Raster Data

• Working with Satellite Imagery (rasterio, GDAL)

• Extracting Information from Raster Data

• Mini Project: Visualizing and Processing Satellite Imagery