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This one-day course is delivered face-to-face in Oxford by the Health Experiences Research Group in the University of Oxford's computing centre. Through a series of practical sessions, the course provides hands-on experience across a range of data types (text-based data, images, video, social media) and in using different techniques (coding, classifications, queries, framework matrices). The course is particularly suited to those already working on projects with a qualitative dimension, doctoral students who are looking for appropriate software to support qualitative data analysis, and those with previous experience in using different qualitative analysis software packages. 

While it is aimed at the needs of health professionals, researchers, academics and postgraduate students, the skills developed here apply to many settings  - so everyone is welcome, regardless of their research or professional background. Some understanding of qualitative analysis methodology is required, as the course will only focus on using the ‘NVivo 11 Pro for Windows’ software, and will not cover methodological principles. 

The course does not cover NVivo for Mac or other NVivo 11 versions, though some of the functionality translates across platforms and software versions.


The course will include:

  • practical sessions offering participants the opportunity to practise their skills in using the ‘NVivo 11 Pro for Windows’ software to support analysis of qualitative data in different formats,
  • hands-on exercises on importing research materials, developing coding frameworks, coding a sample data set, producing coding reports and codebooks, using memos and annotations, importing classifications, running queries, producing framework matrices and working with reference libraries,
  • discussion of advantages and limitations in using qualitative analysis software,
  • discussion about the role of software in participants’ own projects.


By the end of the course participants will

  • have an understanding of the role of software packages in qualitative analysis,
  • be familiar with data management and analysis functionalities provided by ‘NVivo 11 Pro for Windows’,
  • have gained practical experience in using ‘NVivo 11 Pro for Windows’ to support analysis of qualitative data in different formats,
  • be able to recognise advantages and limitations of using qualitative analysis software.
  • Charlotte Albury
    Charlotte Albury

    Course Co-ordinator, Qualitative Research Methods, HERG. Researcher, Health Behaviours