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GIS and Statistical Analysis for WASH Programmes Course


Water-related challenges in developing countries are not limited to water supply and sanitation services. Water shortages experienced by users across the region is plagued with chronic cycles of flooding and drought that are increasing in frequency and severity, in part exacerbated by climate change, and coupled with population growth, significant upland watershed destruction, and non-equitable distributed of water resources.

 There is need in improving access to water, increasing community capacity to manage and better use water resources, improving water supply infrastructure in arid and semi-arid areas, improving water sanitation and hygiene practices, as well as protecting watersheds.


The training is designed for participants who are reasonably proficient in English.


The class size is limited to 10 participants to ensure that each participant has the opportunity to interact with the facilitator. The training course may be cancelled if there are less than five participants.


5 Days


 By completing this course, participants will be able to:-

  • Evaluate the spatial data requirements in Water Sanitation and Hygiene
  • Use GIS and RS as a tool for monitoring WASH projects Activities
  • Assess spatial data availability
  • Understand the importance of Spatial Data Infrastructure (SDI) in WASH programs
  • Use participatory GIS (PGIS) at community level
  • Carry out water and sanitation modeling using GIS
  • Collect data using Mobile data gathering tools
  • Carry out basic data analysis using statistical softwares
  • Design and implement their own GIS projects that integrate remote sensing data, GPS-based field information in a proper geospatial framework


Module 1:

Introduction and definitions of key concepts

  • Review of WASH concepts
  • Introduction to GIS conceptsIntroduction to GIS Software (QGIS)Include outline of the introduction QGIS (Basic GIS….)
    • Principles of GIS
    • Components of GIS Systems
    • GIS Capabilities and Functions in the context of WASH
    • Spatial Data Infrastructure in WASH
    • Introduction to GPS and Global Navigation Satellites
    • GPS configuration, Capturing data from surveys
    • GPS download and related tasks
    • Integrating field GPS data into the GIS database
    • Facilitated Field exercises in GPS Data Collection in WASH

Module 2:

GIS Data Management

  • Data Sources in GIS for WASH
  • Working with GIS Data
  • Attributes manipulation in GIS
  • Tabular data in GIS –import/add and editing tables in GIS
  • GIS database creation
  • GIS database management
  • Facilitated Practical exercises in working with spatial Databases (Geo-databases)

Module 3:

Development and presentation of maps

    • GIS Mapping
    • Styling and symbolization
    • Mapping resources/Project activities
    • Facilitated practical exercises in map making and presentation using project’s data
    • Basic analysis and Geo processing
    • Online Mapping – Google Maps and Fusion Tables
  • Case studies: GIS application in water quality testing
  1. oIdentify and map critical areas of land use and reveal trends that affect water quality
  2. GIS to monitor water levels, water usage, and watch for trends, case study Use of GIS for mapping river contamination.

GIS and Remote Sensing as a tool in monitoring WASH projects

Module 4:

  • Participatory GIS for WASH
  • Use of Mobile Phones for data Collection in WASH
  • Multi Criteria analysis and its application in WASH
  • Case study: GIS and Remote Sensing as a tool in monitoring WASH projects

Module 5:

Statistical data analysis for WASH

  • Introduction to excel
  • Data Entry and Management with Excel
  • Manipulating data using formulas
  • Preparing data for analysis
  • Creating a list
  • Outlining and Sorting data
  • Entering Data: Data Forms
  • Finding Records Using Criteria
  • Filtering Data
  • Data Auditing
  • Data validation
  • Introduction to Excel Pivot tables
  • Frequency Tables
  • Two Way Tables
  • Any Order Tables
  • Graphing Qualitative Data
  • Graphing Quantitative Data
  • Descriptive Statistics
  • Basic Inferential Statistics Tests (Correlation, Chi Square, T-Test and ANOVA)
  • Basic Regression Analysis
  • Tabulations and Graphics
  • Statistical Data Analysis with Excel
  • Data Quality reporting


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training will be held at IRES Training Centre, Nairobi. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814


Payment should be transferred to IRES account through bank on or before C.O.B  22nd July 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it..


  1. Participants may cancel attendance 14 days or more prior to thecommencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.


This scheduled course can also be tailored for your organisation. To find out how our tailor-made training can help your organisation, call our team on

Mob: +254 715 077 817

Tel: 020 211 3814

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 29-07-2019
Event End Date 02-08-2019
Cut off date 22-07-2019
Individual Price(rwanda franc) R₣ 600,000
Individual Price (International) EUR 878
Individual Price(International in Dollars) USD 1,000
Location Kigali,Rwanda
We are no longer accepting registration for this event
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+250 789 621 067
[email protected]
Kamukina KG 501 Gate
Kigali, Rwanda

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