Training on Research Design, Mobile Data Collection, and Mapping, and Data Analysis Using NVivo and R Course
Master research design, mobile data collection, mapping, and data analysis using NVivo and R. Learn to design rigorous studies, collect data using mobile devices, analyze qualitative and quantitative data, and create insightful visualizations.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.
It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts. How can organizations better manage the process of converting the potential of data science to real development outcomes. These ten days hands-on course is tailored to put all these important consideration into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost-effective data and reports that are useful and friendly for decision making.
It will be conducted using ODK, GIS, NVIVO and R.
Course Duration
10 Days
Who Should Attend
- Researchers in social sciences, environmental studies, public health, and other fields
- Data analysts and data scientists
- Professionals in non-profit organizations, governmental agencies, and private sectors involved in data collection and analysis
- Graduate students and academic faculty members
- Anyone interested in learning about modern research methods and tools
What you'll walk away with
By the end of this course, participants will:
- Design effective research studies with clear objectives and methodologies.
- Utilize mobile data collection tools to gather field data efficiently.
- Apply geographic information system (GIS) techniques to map and analyze spatial data.
- Use NVivo for qualitative data analysis, including coding and thematic analysis.
- Perform quantitative data analysis using R, including statistical tests and data visualization.
- Integrate and manage data from multiple sources for comprehensive analysis.
- Present research findings effectively using visual and statistical tools.
- Understand ethical considerations in research design and data collection.
What we cover, module by module
Module 1: Introduction to Research Design
- Overview of research methodologies
- Defining research questions and objectives
- Ethical considerations in research
- Case Study: Poor research design leading to unreliable findings
Module 2: Mobile Data Collection Tools
- Introduction to mobile data collection apps (e.g., ODK, KoBoToolbox)
- Setting up surveys and forms
- Field data collection techniques
- Case Study: Real-time mobile surveys improving field data accuracy
Module 3: Geographic Mapping and Spatial Data Visualization
- Introduction to GIS and mapping concepts
- Collecting and visualizing spatial data
- Creating maps using open-source GIS tools
- Case Study: GIS mapping used to identify underserved communities
Module 4: Introduction to NVivo for Qualitative Analysis
- Overview of NVivo features and interface
- Importing and organizing qualitative data
- Coding and thematic analysis
- Case Study: Interview analysis revealing key customer satisfaction themes
Module 5: Advanced NVivo Techniques
- Working with multimedia data in NVivo
- Creating and analyzing data matrices
- Using NVivo for mixed methods research
- Case Study: Multimedia evidence analysis strengthening program evaluation findings
Module 6: Introduction to R for Data Analysis
- Overview of R and RStudio
- Importing and managing datasets in R
- Basic data manipulation and descriptive statistics
- Case Study: Automating monthly research data cleaning using R
Module 7: Statistical Analysis in R
- Performing inferential statistics (t-tests, ANOVA, regression)
- Data visualization using ggplot2
- Advanced statistical methods and modeling
- Case Study: Regression analysis used to predict health program outcomes
Module 8: Integrating Qualitative and Quantitative Data
- Combining NVivo and R for mixed methods analysis
- Merging and managing data from multiple sources
- Case studies and practical applications
- Case Study: Mixed-methods study improving policy recommendations
Module 9: Data Presentation and Reporting
- Creating effective visualizations and reports
- Presenting qualitative findings using NVivo
- Preparing comprehensive research reports
- Case Study: Dashboard reporting improving stakeholder decision-making
Module 10: Final Project and Course Review
- Applying learned techniques to a final project
- Peer review and feedback sessions
- Course summary and Q&A session
- Case Study: End-to-end research project from design to final presentation
Where the change lands
Organizational Impact
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Enhance research integrity and credibility through a standardized, mixed-methods approach.
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Improve operational efficiency with mobile data collection, reducing time and costs.
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Uncover deeper insights to support more effective and impactful programs.
Personal Impact
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Gain specialized skills in modern research and evaluation methods.
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Advance into senior research, evaluation, or data stewardship roles.
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Contribute to high-quality, reliable research and lead complex projects with confidence.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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For corporate teams
Training 10+ professionals?
We deliver Training on Research Design, Mobile Data Collection, and Mapping, and Data Analysis Using NVivo and R Course in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.