Python for GIS and Remote Sensing with QGIS

📍 Instructor: Sultan Kamal
📅 Duration: 12 weeks of learning + 4 weeks of hands-on projects
💰 Price: ₦650,000

Course Breakdown

📌 Weeks 1-4: Beginner Level – Foundations of GIS & QGIS

Tools: QGIS, Python
1️⃣ Introduction to GIS

• Definition and applications of GIS
• History and evolution of GIS
• Understanding spatial data: Raster vs. Vector

2️⃣ Basic GIS Concepts

• Coordinate systems and projections
• Data types: Attributes and Spatial Data
• Maps and map elements

3️⃣ Getting Started with GIS Software

• Overview of QGIS and ArcGIS
• Navigating GIS software interface
• Opening and saving projects

4️⃣ Data Collection and Management

• Sources of GIS data
• Importing and exporting data
• Data formats: Shapefiles, GeoJSON, KML

5️⃣ Basic Mapping Techniques

• Creating and customizing maps
• Adding layers and symbology
• Basic map layouts and printing

📌 Weeks 5-8: Intermediate Level – Spatial Analysis & Data Processing

Tools: QGIS, Python, GPS Devices
1️⃣ Data Analysis Techniques

• Basics of spatial analysis
• Querying spatial data
• Buffering and overlay analysis

2️⃣ Advanced Mapping Techniques

• Thematic maps and cartographic design
• Working with labels and annotations
• Creating interactive maps

3️⃣ Geodatabases & Spatial Data Management

• Understanding geodatabases
• Creating and managing a geodatabase
• Working with feature classes and attribute tables

4️⃣ Field Data Collection & GPS Integration

• Using mobile GIS applications
• Collecting and integrating field data
• GPS and remote sensing basics

5️⃣ Introduction to Geoprocessing in QGIS

• Vector and raster geoprocessing tools
• Automating GIS tasks

📌 Weeks 9-12: Advanced Level – Python for GIS & Web GIS

Tools: Python (ArcPy, Geopandas, GDAL), QGIS, Web GIS Platforms
1️⃣ Automation & Python Scripting in GIS

• Automating workflows in GIS
• Basic Python scripting for GIS (using ArcPy & Geopandas)

2️⃣ Advanced Spatial Analysis

• Geostatistics and predictive modeling
• Network analysis & routing
• Spatial interpolation techniques

3️⃣ GIS Programming and Customization

• Advanced Python scripting for GIS
• Creating custom GIS tools
• Introduction to GIS APIs (e.g., ArcGIS API for Python)

4️⃣ 3D GIS and Visualization

• Working with 3D spatial data
• 3D visualization techniques
• Applications of 3D GIS in urban planning & remote sensing

5️⃣ Web GIS & Cloud-Based GIS Solutions

• Introduction to Web Mapping & GIS Services
• Building web GIS applications
• Understanding cloud-based GIS platforms

6️⃣ GIS Project Management & Real-World Applications

• Best practices for managing GIS projects
• Documentation and reporting
• Case studies and real-world GIS applications

📌 Weeks 13-16: Hands-on GIS Project

• Working on a real-world GIS dataset
• Implementing Python-based GIS automation
• Building interactive maps and reports
• Presenting GIS insights for decision-making

Certification

• Participants receive a Professional GIS Certification issued by CTA Academy & GIS Industry Experts.
• Certification includes a unique verification code for validation.