Training on Geospatial Data Analysis with QGIS
Master geospatial data analysis with QGIS. Learn to visualize, analyze, and interpret geographic data to gain valuable insights.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides a comprehensive introduction to geospatial data analysis using QGIS, a powerful open-source Geographic Information System (GIS) software. Participants will learn to effectively manage, analyze, and visualize spatial data, leveraging QGIS’s wide range of tools. The course covers essential GIS concepts, spatial data processing techniques, and advanced analysis methods. By the end of the course, participants will be equipped with the skills to handle geospatial data projects from start to finish, making informed decisions in various fields such as urban planning, environmental management, and resource allocation.
Course Duration
10 Days
Who Should Attend
- GIS professionals and technicians
- Urban planners and environmental scientists
- Data analysts and researchers working with spatial data
- Professionals in government agencies and NGOs involved in spatial data management
- Academics and students interested in geospatial data analysis
What you'll walk away with
By the end of this course, participants will be able to:
- Understand the fundamental concepts and principles of GIS and spatial data analysis.
- Gain proficiency in using QGIS for geospatial data management, analysis, and visualization.
- Learn to perform spatial data processing and transformation techniques.
- Develop skills in analyzing spatial relationships and patterns using QGIS tools.
- Explore advanced geospatial analysis techniques, including raster and vector analysis.
- Create high-quality maps and visual representations of geospatial data.
- Apply geospatial analysis in various sectors, including urban planning, environmental management, and resource allocation.
- Master data import, export, and conversion techniques within QGIS.
- Enhance problem-solving skills by working on real-world geospatial data projects.
- Learn to automate geospatial analysis workflows using QGIS plugins and Python scripting.
What we cover, module by module
Module 1: Introduction to Geospatial Data and QGIS
- Geographic Information Systems (GIS) overview
- Spatial data types (vector, raster)
- Coordinate systems and projections
- QGIS interface and basic functionalities
- Case Study: Using GIS to map and analyze urban infrastructure
- Practical: Install QGIS and explore the interface using a sample dataset
Module 2: Data Acquisition and Management
- Data sources (shapefiles, GeoJSON, raster, databases)
- Data importing and exporting
- Georeferencing and data quality assessment
- Creating and editing geospatial data
- Case Study: Collecting and preparing spatial data for a development project
- Practical: Import, edit, and georeference spatial data in QGIS
Module 3: Data Exploration and Visualization
- Spatial data exploration techniques (attribute tables, spatial queries)
- Creating thematic maps (choropleth, graduated symbol, point density)
- Map composition and layout design
- Case Study: Visualizing population distribution using thematic maps
- Practical: Create a thematic map and design a map layout
Module 4: Spatial Analysis Techniques
- Buffering, overlay, and intersection analysis
- Distance and proximity analysis
- Network analysis (shortest path, route optimization)
- Spatial interpolation and geostatistics
- Case Study: Identifying optimal locations for service delivery using spatial analysis
- Practical: Perform buffer and overlay analysis on spatial datasets
Module 5: Raster Data Analysis
- Raster data characteristics and formats
- Raster calculations and analysis
- Image classification and change detection
- Terrain analysis (slope, aspect, elevation)
- Case Study: Monitoring land use changes using satellite imagery
- Practical: Analyze raster data and perform basic classification
Module 6: Geospatial Data Modeling
- Spatial databases and data structures
- Geometric relationships and topological data models
- Spatial data modeling for specific applications
- Case Study: Designing a spatial database for environmental monitoring
- Practical: Create and manage a simple spatial data model
Module 7: Spatial Statistics
- Spatial autocorrelation and spatial patterns
- Point pattern analysis
- Geographically weighted regression (GWR)
- Case Study: Analyzing spatial patterns of disease outbreaks
- Practical: Perform spatial statistical analysis using QGIS tools
Module 8: Geoprocessing and Automation
- QGIS processing toolbox
- ModelBuilder for automating workflows
- Scripting with Python for advanced analysis
- Case Study: Automating repetitive GIS analysis tasks
- Practical: Build a geoprocessing model or script a simple workflow
Module 9: Web Mapping and GIS Applications
- Introduction to web mapping and GIS services
- Creating interactive maps with QGIS
- Integrating GIS with other tools and platforms
- Case Study: Developing an interactive web map for public use
- Practical: Publish a simple interactive map
Module 10: Real-World Case Studies and Projects
- Developing GIS-based solutions for real-world problems
- Case Study: End-to-end GIS project addressing a real-world challenge
- Practical: Complete a capstone GIS project from data collection to presentation
Where the change lands
Organizational Impact
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Enhances strategic and operational decisions through location-based insights.
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Increases efficiency by reducing time and cost of manual mapping and analysis.
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Supports better resource allocation and more effective program outcomes.
Personal Impact
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Builds in-demand skills in GIS and spatial analysis.
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Prepares participants for senior analytical, research, or leadership roles.
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Empowers individuals to lead and communicate complex location-based projects effectively.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
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For corporate teams
Training 10+ professionals?
We deliver Training on Geospatial Data Analysis with QGIS in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.