Certificate in NVivo for Qualitative Data Analysis

NVivo for Qualitative Data Analysis provides learners with practical knowledge and skills for using NVivo to organise, manage, analyse and interpret qualitative research data. The programme covers project creation, data import, document organisation, coding, node development, thematic analysis, annotations, queries, data visualisation, memo writing and research reporting. Learners will develop the ability to work systematically with interview transcripts, focus groups, documents, observations, audio, video and other qualitative data sources while maintaining clear analytical processes, data organisation and research documentation.

Skills Covered

• NVivo interface and project setup
• Qualitative research data management
• Data import and organisation
• Document and source management
• Interview and focus group analysis
• Coding and recoding
• Node creation and organisation
• Hierarchical coding structures
• Thematic analysis
• Annotations and memo writing
• Case classification
• Attributes and demographic data
• Text search queries
• Word frequency analysis
• Matrix coding queries
• Coding comparison
• Data visualisation
• Charts and models
• Research documentation and reporting
• Data organisation and confidentiality

Why Join This Programme?

• Develop practical skills in using NVivo for qualitative research.
• Learn how to organise and manage large volumes of qualitative data systematically.
• Develop structured approaches to coding and thematic analysis.
• Learn how to analyse interviews, focus groups, documents and other qualitative sources.
• Understand how NVivo queries can support deeper analysis and comparison.
• Develop skills in visualising relationships, themes and patterns within research data.
• Improve the transparency and organisation of qualitative research workflows.
• Build useful skills for academic research, social sciences, healthcare, education, business and other research environments.

Course Objectives

The objectives of this programme are to:

1. Introduce the fundamental features and functions of NVivo for qualitative data analysis.
2. Develop skills in creating and organising NVivo research projects.
3. Explain methods for importing, managing and structuring different qualitative data sources.
4. Develop practical knowledge of coding, nodes and hierarchical coding frameworks.
5. Introduce thematic analysis and systematic interpretation of qualitative data.
6. Develop understanding of NVivo queries and analytical tools.
7. Explain methods for comparing cases, groups, themes and coded data.
8. Introduce data visualisation tools for identifying patterns and relationships.
9. Develop good practices for research documentation, organisation and data confidentiality.
10. Promote systematic, transparent and evidence-based approaches to qualitative data analysis.

Learning Outcomes

Upon successful completion of the programme, learners should be able to:

• Navigate the main features and functions of the NVivo environment.
• Create and structure an NVivo project for qualitative research.
• Import and organise interviews, documents and other qualitative data sources.
• Manage research sources systematically within an NVivo project.
• Create and apply codes and nodes to qualitative data.
• Develop hierarchical coding structures based on research themes.
• Review, refine and recode qualitative data systematically.
• Apply basic thematic analysis techniques using NVivo.
• Use annotations and memos to document analytical observations and decisions.
• Create and manage cases and case classifications.
• Organise participant or demographic attributes where appropriate.
• Conduct text search and word frequency queries.
• Use matrix coding queries to compare themes, cases or groups.
• Review coding patterns and identify relationships within qualitative datasets.
• Create basic charts, models and visualisations to support data interpretation.
• Maintain clear documentation of the qualitative analysis process.
• Identify recurring themes, concepts, patterns and relationships within research data.
• Export or present relevant analytical outputs for research reporting.
• Apply appropriate data-management and confidentiality practices.
• Use NVivo to support systematic, transparent and well-organised qualitative research.