Effective data analysis is crucial for transforming raw data into meaningful insights that drive impactful research and decision-making. At the Centre for Health Research and Training (CHaRT-SL), our Data Analysis training programme provides participants with the skills and tools needed to analyse complex datasets, interpret findings, and apply results to real-world health and development challenges.

Key components of the training include:

• Statistical Analysis Techniques: Participants learn both basic and advanced statistical methods used in health research, including descriptive statistics, regression analysis, and hypothesis testing. The training covers the use of statistical software such as SPSS, STATA, and R for data analysis.

• Qualitative Data Analysis: In addition to quantitative methods, the training includes techniques for analysing qualitative data, such as coding, thematic analysis, and the use of tools like NVivo to manage and interpret qualitative data.

• Data Interpretation: Participants are guided on how to interpret statistical outputs and generate meaningful conclusions that inform research, policy, and practice. The training emphasises understanding the implications of findings for public health interventions and development programmes.

• Visualisation and Presentation of Data: The programme also focuses on how to present data effectively using charts, graphs, and dashboards. Participants learn how to communicate findings clearly and persuasively to stakeholders, policymakers, and the public.

• Ethical Considerations in Data Analysis: The training addresses the ethical aspects of data analysis, including data privacy, consent, and avoiding biases in interpreting results.

This comprehensive training ensures that participants have the practical skills required to analyse both qualitative and quantitative data accurately and to use the results for informed decision-making in health and development research.