M9 - Getting Started with NVivo for Qualitative Data Analysis

Target audience

Young researchers and data analysts who are new to qualitative research and curious about NVivo.


NVivo is a widely used computer assisted qualitative data analysis software package which provides a potentially useful tool for the management and analysis of qualitative research data. This course is intended as a basic introduction to using NVivo for qualitative data analysis. Whether you are completely new to NVivo or have some previous experience with it, you will find this course both useful and enjoyable. This course blends lectures with hands-on exercises which allows you to try out the tools you've seen in the class under guidance.

What you will learn:

At the end of this course you will master the core functionalities to apply the latest version of NVivo (1.0) to your project, including:

  • Import - Creating a research project and importing different data formats such as Word documents, PDFs, webpages, audio, video and images into NVivo; classifying data files and managing their classifications
  • Organize - Organizing codes, code text and create codes; apply coding stripes and highlights; use cases with classification and attributes; make annotations and memos, create sets and links to files
  • Explore - Exploring lexical queries, word frequency and text search; apply code and matrix queries; illustrate with visualizations such as mind maps, concept maps, and coding matrix charts; coordinate team work by applying coding comparison

Not included in this course:

  • Theoretical framework of qualitative data analysis - Although this course will introduce some basic concepts of qualitative data analysis it is not a systematic review of the different theories.
  • Advanced qualitative methodologies - This course covers only the most salient features of NVivo and does not teach how to analyse qualitative data according to specific qualitative methods or designs, such as thematic analysis, grounded theory, content analysis, discourse analysis etc.

Course prerequisites

There are no course prerequisites for this course. Anyone can join.


It is advised to bring your own laptop to class. If you don't have access to NVivo through your employer you can download the NVivo 14-day free trial for Windows and Mac via this link.

Exam / Certificate

There is no exam connected to this module. Participants who participate in both sessions receive a certificate of attendance via e-mail at the end of the course.

Type of course

This is an on campus course.


Thursday February 1, 2024, from 9 am to 4 pm (including 1-hour lunch break)


Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Gent, Building S9, 3rd floor, Konrad Zuse, room 3.3

Foto Limin LiuDr. Limin Liu is a postdoc researcher at the Center for Statistics at Ghent University. She studied social work and sociology in Beijing and Berlin where she has accumulated several years of research experience in the field of sociology of eduction, social mobility and stratification. Upon her empirical research experience, she achieved a Master in Statistical Data Analysis at Ghent University. Since 2019, she has joined the team of statisticians and focused on both qualitative and quantitative research methods.

Course material

The course materials, e.g. lecture slides, sample project and sample data will be made available one day in advance. It is recommended to download all files before the course starts.

Further resources:


The participation fee is 330 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. The exam fee is € 35.

Employment Course fee (€)
Industry, private sector, profession 330
Nonprofit, government, higher education staff 250
(Doctoral) student, unemployed 150


Register for this course

UGent PhD students

As UGent PhD student you can incorporate this 'transferable skills seminar: research & valorization' in your Doctoral Training Program (DTP). To get a refund of the registration fee from your Doctoral School (DS) please follow these strict rules and take the necessary action in time. The deadline to open a dossier on the DS website (Application for Registration) for this course is December 29, 2023.

Opening a dossier with your DS does not mean that you are enrolled for the course with our academy. You still need to register on the site.
It is you or your department that pays the fee first to our academy. The Doctoral School refunds that fee to you or your department once the course has ended.