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Training Course on Application of GIS Analysis in WASH (Water Sanitation and Hygiene) Programs.
Program Brief:
In an era where data drives decision-making, the integration of Geographic Information Systems (GIS) and Remote Sensing technologies is transforming the landscape of Water, Sanitation, and Hygiene (WASH) programs. These tools empower organizations to visualize, analyze, and interpret complex geospatial data, facilitating informed decisions that can enhance community health and environmental sustainability.
The Application of GIS Analysis in WASH Programs Course is designed for professionals eager to leverage these cutting-edge technologies to tackle pressing global challenges in water and sanitation. Throughout this 10-day course, participants will embark on a comprehensive journey that bridges theory and practice, equipping them with the essential skills to integrate GIS and Remote Sensing into their WASH initiatives effectively.
By enrolling in this course, participants will not only enhance their technical skills but also gain the confidence to implement GIS and Remote Sensing technologies in their WASH programs effectively. The hands-on approach, combined with real-world applications and collaborative learning, ensures that participants emerge as competent professionals ready to drive meaningful change in their communities. Join us in this transformative learning experience and become a catalyst for improving water, sanitation, and hygiene worldwide.
Course Objectives
By the end of this course, participants will:
Recommended For:
This course is ideal for a diverse range of professionals working in the WASH sector, including:
Duration
5 Days
Course Outline
Module 1: Introduction and Definitions of Key Concepts
Module 2: GIS Principles
Module 3: GPS Configuration and Data Collection
Module 4: GIS Data Management
Module 5: Development and Presentation of Maps
Module 6: Online Mapping
Module 7: Case Study: GIS Application in Water Quality Testing
Module 8: Mobile Phones for Data Collection Technology
Module 9: Statistical Data Analysis for WASH
Module 10: Qualitative and Quantitative Data Analysis
General remarks
Start & End Date | Location | Fee (USD) | Register |
Jan 5- Jan 9, 2026 | Kigali | 2,850 | |
Jan 26-Jan 30, 2026 | Mombasa | 1,450 | |
Feb 2- Feb 6, 2026 | Nairobi | 1,150 | |
Feb 2- Feb 6, 2026 | Pretoria | 4,000 | |
Mar 2- Mar 6, 2026 | Nairobi | 1,150 | |
Mar 23- Mar 27, 2026 | Dar es Salaam | 2,850 | |
Apr 6- Apr 10, 2026 | Nairobi | 1,150 | |
Apr 20- Apr 24, 2026 | Nairobi | 1,150 | |
May 4- May 8, 2026 | Mombasa | 1,450 | |
May 25- May 29, 2026 | Nairobi | 1,150 | |
June 1- June 5, 2026 | Kigali | 2,850 | |
June 22- June 26, 2026 | Nairobi | 1,150 | |
July 6- July 10, 2026 | Dar es Salaam | 2,850 | |
Aug 3- Aug 7, 2026 | Nairobi | 1,150 | |
Aug 24- Aug 28, 2026 | Pretoria | 4,000 | |
Sep 7- Sept 11, 2026 | Nairobi | 1,150 | |
Sep 21- Sept 25, 2026 | Mombasa | 1,450 | |
Oct 5- Oct 9, 2026 | Nairobi | 1,150 | |
Oct 5- Oct 9, 2026 | Kigali | 2,850 | |
Nov 2- Nov 6, 2026 | Nairobi | 1,150 | |
Nov 23- Nov 27, 2026 | Dar es Salam | 2,850 | |
Dec 7- Dec 11, 2026 | Nairobi | 1,150 |
Start & End Date | Fee (USD) | Register |
Jan 5-Jan 9, 2026 | 800 | |
Jan 26-Jan 30, 2026 | 800 | |
Feb 2- Feb 6, 2026 | 800 | |
Feb 23- Feb 27, 2026 | 800 | |
Mar 2- Mar 6, 2026 | 800 | |
Mar 23- Mar 27, 2026 | 800 | |
Apr 6 – Apr 10, 2026 | 800 | |
Apr 20 – Apr 24, 2026 | 800 | |
May 4 – May 8 , 2026 | 800 | |
Jun 1 – Jun 5, 2026 | 800 | |
Jun 22 – Jun 26, 2026 | 800 | |
July 6 – July 10, 2026 | 800 | |
July 27 – July, 2026 | 800 | |
Aug 3 – Aug 7, 2026 | 800 | |
Aug 24 – Aug 28, 2026 | 800 | |
Sept 7 – Sept 11, 2026 | 800 | |
Sept 21– Sept 25, 2026 | 800 | |
Oct 5 – Oct 9, 2026 | 800 | |
Oct 26 – Oct 30, 2026 | 800 | |
Nov 9 – Nov 13, 2026 | 800 | |
Dec 7 – Dec 11, 2026 | 800 |
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