What You'll Learn
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
Course Overview
FeaturedThis course provides participants with practical knowledge and hands-on experience in mobile data collection, management, analysis, and visualization using Open Data Kit (ODK) and Kobo Toolbox. Participants will learn how to design digital surveys, collect data using mobile devices, clean and analyze datasets, and generate interactive visual maps. The course integrates GIS and open-source tools to enhance efficiency, accuracy, and decision-making in development, humanitarian, and research projects.
Duration
5 Days
Who Should Attend
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Monitoring and Evaluation (M&E) professionals
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Data analysts and researchers
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Project and program managers
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ICT4D and GIS specialists
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Field officers involved in data collection and reporting
Course Impact
Organizational Impact
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Enhanced data accuracy and timely reporting for projects and evaluations
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Improved decision-making through real-time data visualization and analysis
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Strengthened capacity in digital transformation for data-driven programs
Individual Impact
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Practical skills in designing and deploying mobile surveys
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Ability to manage and analyze large datasets using open-source tools
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Enhanced GIS mapping and visualization capabilities for better reporting
Course Objectives
By the end of the training, participants will be able to:
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Design digital data collection forms using ODK and Kobo Toolbox.
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Manage, clean, and analyze collected data efficiently.
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Integrate mobile data with GIS for spatial analysis and mapping.
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Visualize and interpret data for effective decision-making.
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Apply mobile data tools in real-world development and humanitarian contexts.
Course Outline
Module 1: Introduction to Mobile Data Collection Systems
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Understanding mobile data collection concepts and workflows
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Overview of ODK, Kobo Toolbox, and related tools
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Best practices in mobile data collection and data quality assurance
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Case Study: Applying mobile tools in field data collection for a development project
Module 2: Designing Digital Data Collection Forms
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Building digital forms using XLSForm standards
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Adding logic, constraints, and cascading selections
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Testing and deploying forms on mobile devices
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Case Study: Designing a comprehensive field survey using Kobo Toolbox
Module 3: Field Data Collection and Management
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Setting up devices and managing field teams
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Offline data collection techniques and synchronization
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Data validation and quality control during collection
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Case Study: Managing mobile survey operations in remote regions
Module 4: Data Analysis and Visualization
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Exporting and cleaning data using Excel and R
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Performing descriptive and inferential analyses
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Visualizing results through dashboards and charts
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Case Study: Analyzing community health data for reporting
Module 5: GIS Integration and Mapping
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Linking ODK/Kobo data with QGIS and Google Earth
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Creating interactive maps for spatial visualization
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Geocoding and mapping hotspots for decision support
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Case Study: Mapping survey results for program planning and monitoring
Prerequisites
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:
Email: outreach@idealworkplacesolutions.org
Mobile: +254759708394
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 |
USD 1,400
Request Custom Training
We offer customized training solutions tailored to your organization's specific needs:
- Training at your preferred location
- Customized content to address your specific challenges
- Flexible scheduling to accommodate your team
- Cost-effective solution for training multiple employees
Early-bird Offer
Special pricing ends in:
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Training on Mobile Data Collection, Analysis, and Mapping with ODK and Kobo Toolbox
Next class starts 5 Jan 2026
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