GIS and Data Analysis for WASH (Water Sanitation and Hygiene) Programmes Course

1 year ago Posted By : User Ref No: WURUR141484 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 01-05-2023 - 12-05-2023
GIS and Data Analysis for WASH (Water Sanitation and Hygiene) Programmes Course, Nairobi, Kenya
Training or Development Class Title
GIS and Data Analysis for WASH (Water Sanitation and Hygiene) Programmes Course
Event Type
Training or Development Class
Training or Development Class Date
01-05-2023 to 12-05-2023
Last Date for Applying
Nairobi, Kenya
Organization Name / Organize By
Upskill Development Training Center
Organizing/Related Departments
Upskill Training Department
Organization Type
Training or Development ClassCategory
Non Technical
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries


Business Development


Information Technology

Nairobi, Kenya


Geographic Information System (GIS) will allow you to bring all types of data inform of layers, overlay them to perform analysis and eventually publish a map from that. Giving a spatial dimension to data and performing spatial analysis in a GIS environment enhances the interpretation which eventually speeds up implementation of programs. Integrating GIS and Remote Sensing as a decision-making tool has seen many organizations gain competitive advantage and remain relevant globally. Once the data is collected, participants will be equipped with analyses skills using Microsoft Excel program where techniques on handling both qualitative and quantitative data will be illustrated. It’s a known fact that information is processed from facts and figures.


10 days

Course Objectives

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

Course Outline

Introduction and definitions of key concepts

o Review of WASH concepts

o Introduction to GIS concepts

o Introduction to GIS Software (QGIS) include outline of the introduction QGIS

GIS Principles

o Principles of GIS

o Components of GIS Systems

o GIS Capabilities and Functions in the context of WASH

o Spatial Data Infrastructure in WASH

GPS configuration and GPS Data Collection

o GPS configuration, capturing data from surveys

o GPS download and related tasks

o Integrating field GPS data into the GIS database

o Facilitated Field exercises in GPS Data Collection in WASH

GIS Data Management

o Data Sources in GIS for WASH

o Working with GIS Data

o Attributes manipulation in GIS

o Tabular data in GIS –import/add and editing tables in GIS

o GIS database creation

o GIS database management

o Facilitated Practical exercises in working with spatial Databases (Geo-databases)

Development and presentation of maps

o GIS Mapping

o Styling and symbolization

o Mapping resources/Project activities

Online Mapping

o Facilitated practical exercises in map making and presentation using project’s data

o Basic analysis and Geo processing

o Online Mapping – Google Maps and Fusion Tables

Case study: GIS application in water quality testing

o Identify and map critical areas of land use and reveal trends that affect water quality

o GIS to monitor water levels, water usage, and watch for trends, case study Use of GIS for mapping river contamination

Mobile Phones for data Collection Technology

o Participatory GIS for WASH

o Use of Mobile Phones for data Collection in WASH

o Multi Criteria analysis and its application in WASH

o Case study: GIS and Remote Sensing as a tool in monitoring WASH projects

Statistical data analysis for WASH

o Introduction to excel

o Data Entry and Management with Excel

o Manipulating data using formulas

o Preparing data for analysis

o Creating a list

o Outlining and Sorting data

o Entering Data: Data Forms

o Finding Records Using Criteria

o Filtering Data

o Data Auditing

o Data validation

o Introduction to Excel Pivot tables

o Frequency Tables

o Two Way Tables

o Any Order Tables

Qualitative and Quantitative Data Analysis

o Graphing Qualitative Data

o Graphing Quantitative Data

o Descriptive Statistics

o Basic Inferential Statistics Tests (Correlation, Chi Square, T-Test and ANOVA)

o Basic Regression Analysis

o Tabulations and Graphics

o Statistical Data Analysis with Excel

o Data Quality reporting

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: [email protected] Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant


Participants will be issued with Upskill certificate upon completion of this course.

Registration Fees
Registration Fees Details
USD 2400
Registration Ways
Upskill Development Training Center  NAIROBI  Pin/Zip Code : 00100
Official Email ID
Daniel Ndungu


[email protected]

   +254721331808      0721331808