Format: Live instructor-led online training via Zoom / Microsoft Teams

QGIS for Mapping and Analytics Training Course

Course Overview

The QGIS for Mapping and Analytics Training Course equips participants with comprehensive knowledge and practical skills in using QGIS, the world's leading open-source Geographic Information System (GIS) software, for digital mapping, spatial analysis, geospatial data management, and location-based decision-making. As organizations increasingly rely on geospatial technologies to support urban planning, environmental management, agriculture, public health, infrastructure development, disaster risk management, transportation, utilities, land administration, and natural resource conservation, QGIS has become an essential platform for developing cost-effective and scalable GIS solutions. This course provides participants with practical experience in creating professional maps, performing spatial analysis, managing geospatial databases, integrating remote sensing data, and utilizing advanced QGIS tools for evidence-based planning and operational excellence.

The course covers the complete QGIS workflow, including spatial data acquisition, vector and raster data management, coordinate reference systems, map projections, cartographic design, geoprocessing, spatial statistics, database integration, web mapping, mobile GIS, and geospatial visualization. Participants will learn how to perform advanced spatial queries, create thematic maps, conduct suitability analysis, manage geospatial datasets, automate workflows using the QGIS Processing Toolbox and Python scripting, and integrate GPS, GNSS, drone imagery, and satellite data into GIS projects. Emphasis is placed on applying QGIS technologies to solve real-world planning, monitoring, and analytical challenges across diverse sectors.

Through instructor-led demonstrations, practical laboratory sessions, collaborative exercises, and industry-based case studies, participants will gain hands-on experience in designing geospatial databases, performing advanced spatial modeling, creating interactive dashboards, publishing web maps, integrating QGIS with PostgreSQL/PostGIS databases, and implementing enterprise geospatial solutions. The training also introduces emerging technologies such as cloud GIS, spatial data infrastructures (SDI), remote sensing integration, geospatial artificial intelligence (GeoAI), machine learning, and open geospatial standards to support modern GIS applications and digital transformation initiatives.

Upon successful completion of this course, participants will possess the technical competencies required to effectively use QGIS for mapping, spatial analytics, geospatial database management, environmental monitoring, infrastructure planning, disaster management, resource optimization, and strategic decision-making. The acquired knowledge will enable professionals to develop high-quality geospatial products, improve organizational efficiency, support sustainable development initiatives, and implement cost-effective GIS solutions using industry best practices and open-source geospatial technologies.

Course Objectives

By the end of this course, participants will be able to:

1. Understand the principles, architecture, and capabilities of QGIS for geospatial analysis.
2. Create, edit, manage, and analyze vector and raster geospatial datasets.
3. Develop professional cartographic products using advanced map design techniques.
4. Perform spatial analysis, geoprocessing, and location intelligence using QGIS tools.
5. Integrate GPS, GNSS, remote sensing, and drone imagery into QGIS projects.
6. Build and manage spatial databases using PostgreSQL/PostGIS and GeoPackage.
7. Automate GIS workflows using the QGIS Processing Toolbox and Python scripting.
8. Publish interactive web maps and web GIS applications.
9. Apply QGIS solutions across sectors including agriculture, environment, infrastructure, and disaster management.
10. Develop enterprise GIS workflows that support strategic planning and evidence-based decision-making.

Organizational Benefits

Organizations implementing QGIS technologies will benefit by:

1. Improving spatial planning and resource management.
2. Reducing GIS software licensing costs through open-source solutions.
3. Enhancing data-driven decision-making using spatial analytics.
4. Improving infrastructure planning and asset management.
5. Strengthening environmental monitoring and conservation programs.
6. Enhancing disaster preparedness and emergency response planning.
7. Supporting smart city initiatives and sustainable development projects.
8. Increasing operational efficiency through GIS automation.
9. Facilitating collaboration through centralized geospatial data management.
10. Building organizational capacity in modern geospatial technologies.

Target Participants

This course is designed for:

• GIS Analysts
• GIS Technicians
• Surveyors
• Cartographers
• Urban and Regional Planners
• Environmental Scientists
• Civil Engineers
• Agricultural Officers
• Disaster Risk Management Professionals
• Natural Resource Managers
• Public Health Officers
• Utility Managers
• Transportation Planners
• Monitoring and Evaluation Specialists
• Researchers and Academicians
• Development Practitioners
• Infrastructure Engineers
• ICT Professionals
• Spatial Data Managers
• Professionals interested in open-source GIS technologies

Course Outline

Module 1: Introduction to QGIS

• QGIS architecture and interface
• Installing and configuring QGIS
• QGIS project management
• GIS concepts and workflows
• Open-source GIS ecosystem
• QGIS plugins overview

Case Study: Establishing an open-source GIS environment for a municipal planning office.

Module 2: Spatial Data Management

• Vector data management
• Raster data management
• Data formats
• Attribute tables
• Data editing
• Data quality management

Case Study: Building a geospatial database for infrastructure asset management.

Module 3: Coordinate Systems and Georeferencing

• Coordinate reference systems
• Map projections
• Datum transformations
• Georeferencing techniques
• Spatial accuracy
• Coordinate conversions

Case Study: Preparing standardized spatial datasets for national mapping.

Module 4: Cartography and Map Production

• Map layout creation
• Symbology
• Labeling
• Thematic mapping
• Print layouts
• Map export techniques

Case Study: Producing thematic maps for environmental management.

Module 5: Spatial Analysis and Geoprocessing

• Buffer analysis
• Overlay analysis
• Spatial queries
• Network analysis
• Terrain analysis
• Raster calculations

Case Study: Site suitability analysis for infrastructure development.

Module 6: Database Integration and PostGIS

• PostgreSQL installation
• PostGIS integration
• Database connectivity
• SQL queries
• Spatial indexing
• Data management

Case Study: Developing an enterprise spatial database using PostGIS.

Module 7: Remote Sensing and Image Analysis

• Satellite imagery integration
• Drone imagery processing
• Image classification
• Change detection
• Raster processing
• Land cover mapping

Case Study: Monitoring agricultural land use changes using satellite imagery.

Module 8: GPS, GNSS, and Mobile GIS

• GPS data collection
• GNSS integration
• Mobile GIS applications
• Field data collection
• Offline mapping
• Data synchronization

Case Study: Mobile GIS for utility infrastructure inspections.

Module 9: Web GIS and Online Mapping

• Web mapping fundamentals
• QGIS Server
• QGIS Cloud
• OpenLayers integration
• Leaflet mapping
• Web GIS publishing

Case Study: Developing an interactive public web GIS portal.

Module 10: Automation and Python for QGIS

• Processing Toolbox
• Graphical Modeler
• Python scripting
• PyQGIS automation
• Batch processing
• Workflow optimization

Case Study: Automating spatial data processing for environmental monitoring.

Module 11: Advanced QGIS Applications

• Spatial statistics
• 3D visualization
• Network analysis
• Hydrological analysis
• GeoAI integration
• Machine learning applications

Case Study: Predictive spatial analysis for urban development planning.

Module 12: Enterprise GIS and Emerging Trends

• Enterprise GIS implementation
• Spatial Data Infrastructure (SDI)
• Cloud GIS
• Open geospatial standards
• Digital twins
• Future trends in QGIS

Case Study: Implementing enterprise QGIS solutions for national spatial planning.

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call +254712260031.
14. Website: Visit our website at www.fdc-k.org for more information.