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This skills development module is designed to provide students with the essential tools required for analysing quantitative and geospatial data in the context of risk and disaster reduction, humanitarian crises, and public health emergencies.

As a participant in this module, you will acquire foundational knowledge in statistical methods tailored for survey design and quantitative data analysis. Moreover, the module includes hands-on programming exercises, which will enhance your ability to conduct independent research in risk and disaster science. These exercises focus on data analysis using an example programming language.

You will also develop fundamental skills in geospatial data analysis through an introduction to Geographic Information Systems (GIS) and Remote Sensing (RS) techniques. Utilising industry-standard software, you will engage in the analysis of geospatial data, thereby bolstering both your scientific understanding and practical abilities in this field.

Through lectures, class discussions, interactive demonstrations and computer lab exercises featuring examples relating to disaster risk reduction and humanitarian crises, you will learn:

1. Planning and designing data collection

• Introduction to statistics
• Statistical distributions
• Samples and populations

2. Quantitative data analysis

• Probabilities
• Hypothesis testing (parametric and non-parametric)
• Linear regression

3. Introduction to computer programming

• Programming for practical data analysis

4. Geospatial data analysis

• Geographical Information Systems (GIS) and Remote Sensing
• Handling vector and raster data
• Real-world examples using a case study

5. Transferrable skills

• Quantitative and geospatial data analysis
• Working on open-source and industry-standard software
• Analytical skills and critical thinking