Data Analysis

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.

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.

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.

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.

Ethical Considerations in Data Analysis

The training addresses the ethical aspects of data analysis, including data privacy, consent, and avoiding biases in interpreting results.

Ethical Considerations in Data Analysis

The training addresses the ethical aspects of data analysis, including data privacy, consent, and avoiding biases in interpreting results.

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.

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.

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.

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.

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.

Join us in building a healthier Sierra Leone

Grounded in solid research and a deep commitment to the well-being of all, we invite partners, funders and researchers to join our mission.

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Centre for Health Research and Training, UNIMTECH, Freetown, Sierra Leone. Advancing health, epidemiological and biomedical research for a healthier nation.

Focus Areas

Research for Development​

Research Capacity Training

Climate Change & Adaptation

University of Management and Technology (UNIMTECH), 3 Hospital Road, Kissy Dockyard, Freetown, Sierra Leone

info@chartsl.org

(+232) 79 212761

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