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Install the app

Install this application on your home screen for quick and easy access when you’re on the go.

Just tap Share then “Add to Home Screen”

Introduction to NVivo

Marie-Hélène Paré

The Qualitative Analyst

Marie-Hélène teaches qualitative research methods at the Open University of Catalonia (UOC) and is a freelance methodologist in qualitative data analysis. She was educated in Quebec, Beirut and Oxford where she read social work. A clinician by training, she worked as a mental health officer in humanitarian missions for MSF, MDM and UNWRA in psychosocial aid programs for survivors of war trauma in East Africa and the Middle East. Her clinical work led her to research the harm that INGOs can do in the name of doing good when imposing Western paradigms in culturally and politically different contexts.

Marie-Hélène is an NVivo Certified Platinum Trainer and is a member of the NVivo Core Trainer Team who teaches the NVivo online courses. She is a sought-after methodologist who has taught qualitative data analysis in more than sixty universities and research centres worldwide, in countries including Qatar and Iran. Since 2009, Marie-Hélène has taught the introductory and advanced courses in qualitative data analysis at the ECPR Methods School and teaches similar courses at the IPSA-NUS Summer School in Singapore. Her methodological interests range from advances in qualitative data analysis, qualitative evidence synthesis, decolonising epistemology and participatory methodologies. Read more about Marie-Hélène.


Course Dates and Times

Monday 27 ꟷ Friday 31 July 2020
2 hours of live teaching per day
Courses will be either morning or afternoon to suit participants’ requirements

Prerequisite Knowledge

Although no previous knowledge of NVivo is required, you should have some familiarity with qualitative research.

This course is for both NVivo for Windows and Mac.

Short Outline

This course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed for a demanding audience (researchers, professional analysts, advanced students) and capped at a maximum of 16 participants so that the teaching team (the Instructor plus one highly qualified Teaching Assistant) can cater to the specific needs of each individual.

Purpose of the course

This course will teach you how to use NVivo for the management, coding, analysis and visualisation of qualitative data. It follows the qualitative data analysis process in sequence, and covers how to:

  • set up a project and organise data
  • manage a literature review
  • code and analyse data
  • present qualitative findings.
ECTS Credits

3 credits Engage fully with class activities 
4 credits Complete a post-class assignment

Long Course Outline

This course is designed for those who intend to use NVivo to manage, code, and analyse qualitative data and present qualitative findings in articles, reports or theses.

It is the course you need if you are looking for training in using qualitative software that supports the research process from beginning to end. 

The course is structured around four modules that address the following topics:

  • importing, organising and classifying data
  • managing a literature review
  • autocoding and inductively coding text, multimedia and social media data
  • mapping the coding process
  • seeking patterns and identifying relationships
  • presenting findings using visualisations
  • exporting data
  • sharing projects

The course is entirely hands-on and uses sample data to practise NVivo’s functionalities.

Please note This course does not teach qualitative data analysis in NVivo based on specific methods such as thematic analysis, content analysis, grounded theory, etc.

How the course will work online

The course combines pre-course tasks, such as readings which will be provided beforehand and pre-recorded videos, as well as live lectures, during which the Instructor and participants will interact in real-time. 

Apps that support online learning management systems (LMS) such as Google Docs, Slack and Asana, also feature in the course's pedagogy.

Additional Information


This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc). Registered participants will be informed at the time of change.

By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.