Mobile Data Collection Architecture, KOBO tools, Python Research Methodology & Field Analytics Intelligence
Venue: Sarova Stanley Hotel, Nairobi-Kenya
Date: 1st - 6th June 2026
Cost: Kshs. 86,000 / USD 850
CPD points: 10
Overview
Master modern field data collection and analysis with this comprehensive program on mobile data collection architecture, KOBO tools, Python research methodology, and field analytics intelligence. Participants will learn to design digital surveys using KOBO, deploy them on mobile devices, and manage collected data. The curriculum also introduces Python for data cleaning, analysis, and visualization, enabling participants to derive insights from field data efficiently. Through hands‑on exercises and real‑world projects, attendees will build end‑to‑end skills for digital data collection and analysis. This program is essential for researchers, M&E officers, and field data collectors seeking to leverage technology for high‑quality data.
Objectives
- Design and deploy mobile surveys using KOBO Toolbox
- Configure forms with skip logic, validation, and multimedia capture
- Manage data collection teams and monitor submissions in real time
- Export data from KOBO to various formats (CSV, Excel, JSON)
- Use Python (Pandas) to clean, transform, and analyze collected data
- Create visualizations and reports from field data
- Ensure data quality and address common field issues
- Apply ethical considerations in mobile data collection
- Integrate mobile data with other data sources for comprehensive analysis
Target Audience
- Monitoring and evaluation officers
- Researchers and academics conducting field studies
- Survey managers and data collection supervisors
- Development program staff
- Data analysts working with primary data
- Anyone involved in field research and data collection
Methodology
- Hands‑on KOBO form design and deployment
- Field simulation exercises using mobile devices
- Python programming labs with real survey data
- Data cleaning and analysis workshops
- Case studies of successful mobile data projects
- Peer review of survey instruments and code
- Action planning for implementing mobile data systems
