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What You'll Learn

Master geospatial data analysis with QGIS. Learn to visualize, analyze, and interpret geographic data to gain valuable insights.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Geospatial Data Analysis with QGIS - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

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

Course Impact

Organizational Impact

  • Enhances strategic and operational decisions through location-based insights.

  • Increases efficiency by reducing time and cost of manual mapping and analysis.

  • Supports better resource allocation and more effective program outcomes.

Personal Impact

  • Builds in-demand skills in GIS and spatial analysis.

  • Prepares participants for senior analytical, research, or leadership roles.

  • Empowers individuals to lead and communicate complex location-based projects effectively.

Course Objectives

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.

Course Outline

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

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

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

Module 4: Spatial Analysis Techniques

  • Buffering, overlay, and intersection analysis
  • Distance and proximity analysis
  • Network analysis (shortest path, route optimization)
  • Spatial interpolation and geostatistics

Module 5: Raster Data Analysis

  • Raster data characteristics and formats
  • Raster calculations and analysis
  • Image classification and change detection
  • Terrain analysis (slope, aspect, elevation)

Module 6: Geospatial Data Modeling

  • Spatial databases and data structures
  • Geometric relationships and topological data models
  • Spatial data modeling for specific applications

Module 7: Spatial Statistics

  • Spatial autocorrelation and spatial patterns
  • Point pattern analysis
  • Geographically weighted regression (GWR)

Module 8: Geoprocessing and Automation

  • QGIS processing toolbox
  • ModelBuilder for automating workflows
  • Scripting with Python for advanced analysis

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

Module 10: Real-world Case Studies and Projects

  • Case studies showcasing GIS applications in different fields
  • Developing GIS-based solutions for real-world problems

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use QGIS for geospatial analysis, enabling you to analyze, visualize, and interpret geographic data to solve real-world problems.
QGIS is a free, open-source GIS software. It's used for creating, editing, visualizing, and analyzing geospatial data, making it a powerful and accessible tool.
You'll learn to manage and manipulate various data types, perform spatial queries, geoprocess data, and conduct raster and vector analysis using the QGIS interface.
You'll master the QGIS Print Layout tool to create high-quality, customized maps with all necessary elements like legends, scale bars, and labels for effective communication.
You can apply QGIS to optimize site selection, analyze environmental impact, plan urban infrastructure, and visualize demographic data for policy planning.
Training on Geospatial Data Analysis with QGIS

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