Training on GIS and Statistical Analysis for WASH Projects
Details
Course Description:
This course is designed to provide an introduction to Geographic Information Systems (GIS) and their application in the Water, Sanitation, and Hygiene (WASH) sector. Participants will learn the basics of GIS, including spatial data management, analysis,
and visualization, and how it can be used to support decision-making in WASH programs.
Course Duration: Online Instructor-Led (7 Days)
Class Based -(5 Days)
Course Objectives:
Upon completion of this course, participants will be able to:
1. Understand the basics of GIS, including spatial data management, analysis, and visualization.
2. Identify key data sources and techniques for collecting and managing spatial data in the WASH sector.
3. Use GIS tools to analyze and visualize WASH data, including water sources, sanitation facilities, and hygiene practices.
4. Understand the importance of using GIS for decision-making in WASH programs.
Outline
Course Outline:
Module 1: Introduction to GIS
- Overview of GIS and its applications in WASH
- Key GIS concepts, including spatial data, projections, and coordinate systems
- Introduction to GIS software and tools
Module 2: Spatial Data Management
- Types of spatial data used in the WASH sector
- Data sources and collection techniques
- Data storage and management best practices
Module 3: Spatial Analysis
- GIS analysis techniques for WASH data, including buffering, overlay analysis, and network analysis
- Techniques for creating meaningful maps and visualizations
- Case studies on the use of GIS for WASH programs
Module 4: Decision-Making with GIS
- Understanding the role of GIS in decision-making for WASH programs
- Best practices for using GIS to inform WASH program design, implementation, and monitoring
- Case studies on the use of GIS for WASH program decision-making
Module 5: Project Implementation
- Planning and implementing a GIS-based WASH project
- Techniques for project monitoring and evaluation
- Future trends in GIS and their potential impact on the WASH sector
Course Delivery:
The course will be delivered in a mix of lecture-style presentations, hands-on exercises, and case studies. Participants will be provided with access to GIS software and data sets to use during the course.
Course Duration:
The course will run for five days, with each module taking approximately one day to complete.
Prerequisites:
There are no specific prerequisites for this course, although participants should have a basic understanding of WASH concepts and data management principles. Prior experience with GIS is not required.
Schedules
No. of Days: | 5 |
Total Hours: | 40 |
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