Short Course Catalogue
Creating CAPI with KOBOToolbox Course
Introduction to CAPI (Computer-Assisted Personal Interviewing)
Overview of KoboToolbox interface and project setup
Designing and structuring forms using XLSForm
Incorporating skip logic, validation rules, and calculations
Data collection and testing using mobile devices
Managing and monitoring survey submissions
Exporting and cleaning collected data
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Expected Outcomes
- Independently design, deploy, and manage digital surveys using KoboToolbox.
- Understand how to structure forms with advanced logic and monitor real-time data collection.
AI for M&E Master Class Course
Course Outline
- Introduction to AI and machine learning in Monitoring & Evaluation
- Natural Language Processing (NLP) for qualitative data
- Predictive analytics for outcome forecasting
- Automating M&E reporting using AI tools
- Ethical use of AI in development contexts
- Case studies from development projects
Expected Outcomes
- Gain practical skills to integrate AI into data workflows.
- Apply machine learning techniques to M&E problems such as prediction, classification, and automation.
Practical Introduction to R for Data Science Course
Course Outline
Introduction to R and RStudio - Data manipulation using dplyr and tidyr - Data visualization with ggplot2 - Importing and exporting data - Basic statistical analysis - Writing reproducible reports using RMarkdown
Expected Outcomes
- Clean, analyze, and visualize datasets using R.
- Generate automated reports and communicate insights effectively.
Practical Introduction to STATA Course
Course Outline
- Getting started with STATA interface
- Importing and managing datasets
- Descriptive and inferential statistics
- Regression analysis and model interpretation
- Data visualization basics in STATA
- Automating outputs with STATA Do-Files
Expected Outcomes
- Perform basic to intermediate statistical analysis using STATA.
- Manage data, run models, and interpret results confidently.
Visualization Using Data Wrapper MasterClass
Course Outline
- Introduction to Datawrapper interface
- Creating bar, line, and pie charts
- Customizing map visualizations
- Embedding visualizations into blogs and websites
- Best practices for clean, interpretable visual design
Expected Outcomes
- Master data storytelling with high-quality, shareable visualizations.
- Communicate insights clearly to technical and non-technical audiences.
Website Creation/Development Courses
Using RStudio
Course Outline
- Website creation in RStudio using
blogdown,distill, andquarto - Managing content with Markdown and YAML
- Publishing via GitHub Pages or Netlify
- Adding analytics, comments, and social media integrations
Expected Outcomes
- Create personal blogs or portfolio sites in RStudio.
- Update and maintain static websites with confidence.
Using Quarto
Course Outline
- Introduction to Quarto framework
- Writing and rendering
.qmddocuments - Creating interactive reports and dashboards
- Publishing to web
- Code chunks, figures, and citations integration
Expected Outcomes
- Develop interactive documents and reproducible reports using Quarto.
- Deploy and update Quarto-based websites and publications.
Using JavaScript and Python
Course Outline
- Basics of HTML, CSS, and JavaScript for interactive web design
- Introduction to Python for web development (Flask, Streamlit)
- Integrating JavaScript for interactivity in dashboards
- Hosting and deploying Python-based web apps
Expected Outcomes
- Understand how to create dynamic web content using Python and JavaScript.
- Build interactive data apps and dashboards for research or business use. :::