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What You'll Learn

Master GIS, mobile tools, and remote sensing to enhance WASH planning and monitoring. Build capacity in mapping, data collection, and digital decision support for WASH programs.

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 5-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 Digital Tools for WASH Data Collection and Monitoring - Course Cover Image
Duration 5 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This course is designed to build the technical capacity of WASH professionals in using digital tools—especially Geographic Information Systems (GIS), mobile data collection platforms, and remote sensing—for effective planning, implementation, and monitoring of WASH interventions. Participants will learn to map WASH infrastructure, track service delivery, conduct real-time data collection, and integrate geospatial technologies into WASH decision-making. The training features hands-on exercises, tool demos, and case studies tailored for development and humanitarian contexts.

Duration

10 Days

Who Should Attend

  • WASH Officers and Engineers

  • Monitoring & Evaluation Specialists

  • GIS and Data Analysts

  • Humanitarian and Development Practitioners

  • Environmental Health Professionals

  • Government Planners and Technicians

  • NGO and UN Agency Program Staff

Course Level: Intermediate

Course Impact

Organizational Impact

  • Improves accuracy and timeliness of WASH data for better decision-making.

  • Increases operational efficiency by reducing manual data collection and analysis.

  • Enhances organizational credibility as a leader in evidence-based development.

Personal Impact

  • Builds in-demand skills for careers in development and humanitarian sectors.

  • Supports progression to senior M&E, leadership, or advisory roles.

  • Empowers participants to lead innovative data collection and monitoring initiatives.

Course Objectives

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

  • Understand the role of digital tools in WASH programming

  • Use GIS for mapping WASH infrastructure and services

  • Conduct mobile-based WASH assessments and surveys

  • Apply remote sensing techniques for water and sanitation monitoring

  • Visualize and analyze spatial WASH data for evidence-based decisions

  • Develop custom dashboards for WASH program reporting

  • Integrate digital monitoring into routine WASH planning and evaluations

Course Outline

Module 1: Foundations of WASH Monitoring and Digital Tools

  • Introduction to WASH monitoring frameworks and indicators

  • Overview of digital innovations in WASH data management

  • Benefits and challenges of using technology in field operations

  • Case Study: Evolution of GIS for WASH programs

Module 2: GIS for WASH Mapping and Infrastructure Planning

  • Basics of GIS and spatial data for WASH

  • Mapping water supply, sanitation, and hygiene facilities

  • Creating spatial databases for WASH service delivery

  • Hands-on: Mapping WASH infrastructure GIS projects

Module 3: Mobile Data Collection for WASH Programs

  • Introduction to mobile data collection tools (e.g., KoboToolbox, ODK, SurveyCTO)

  • Designing WASH-specific survey forms and tools

  • Conducting field assessments using smartphones and tablets

  • Real-Life Application: Mobile data collection WASH use cases

Module 4: Remote Sensing for WASH Monitoring and Environmental Analysis

  • Fundamentals of satellite imagery and remote sensing in WASH

  • Detecting water sources and flood-prone areas

  • Monitoring environmental risks affecting WASH services

  • Practical: Remote sensing WASH monitoring scenarios

Module 5: Data Integration, Visualization, and Decision Support

  • Integrating GIS, mobile, and remote sensing data

  • Developing dashboards for WASH reporting (Power BI, ArcGIS, etc.)

  • Data cleaning, validation, and quality assurance processes

  • Visualization techniques for communicating WASH data

Module 6: Real-Time Monitoring and Early Warning Systems

  • Designing digital platforms for live data feeds

  • Trigger-based alerts for sanitation and water safety monitoring

  • Case Study: Digital monitoring tools in emergency WASH settings

  • Building WASH alert systems for rapid response

Module 7: Participatory Mapping and Community Engagement

  • Introduction to participatory GIS for WASH

  • Engaging communities in data collection and validation

  • Digital inclusion in WASH monitoring systems

  • Practical: Community-led WASH mapping using open tools

Module 8: Policy, Governance, and Digital Data Ethics in WASH

  • Legal and ethical considerations for digital WASH data

  • Data protection and responsible data use in humanitarian settings

  • Government policies supporting digital WASH monitoring

  • Frameworks for data sharing and interoperability

Module 9: Designing Technology-Driven WASH Monitoring Systems

  • Planning a digital WASH M&E system from scratch

  • Selecting appropriate tools based on program needs

  • Resource and capacity considerations for implementation

  • Group Work: Developing a digital WASH M&E roadmap

Module 10: Case Studies, Presentations, and Action Planning

  • Review of successful GIS for WASH programs

  • Participant presentations on digital monitoring solutions

  • Developing organizational action plans for digital integration

  • Closing discussion and course evaluation

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 - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

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  • Training at your preferred location
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to teach you how to use digital tools for efficient WASH data collection, monitoring, and analysis to improve program planning and accountability.
You'll gain hands-on experience with popular platforms like KoboToolbox, ODK (Open Data Kit), and GIS (Geographic Information System) for mapping.
You'll learn to design smart, mobile-friendly forms with skip logic, validation rules, and multimedia fields to ensure data accuracy and ease of use.
You'll learn to use dashboards and automated reporting features to track key performance indicators (KPIs) and monitor project progress as data comes in.
The training teaches you data cleaning techniques, how to identify outliers, and best practices for data management to maintain a high level of data integrity.
Training on Digital Tools for WASH Data Collection and Monitoring

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