NVivo Core Skills

This introductory course will cover the principles behind this software package, and teach the basics of setting-up and working in an NVivo project. NVivo is the most widely used qualitative data analysis package internationally, and is certainly the most popular choice amongst New Zealand researchers.

As well as providing an overview of the software, this training course aims to introduce the range of data types that you can work with and code in NVivo.  

More advanced features such as queries and visualisations will also be demonstrated, and options for learning more about these discussed.

Key content

  • The NVivo project interface
  • Creating and working with projects
  • Preparing, importing, and working with data
  • Creating and working with nodes (coding)
  • Introduction to reporting functionality
  • Demonstration of queries and visualisations


This introductory course will provide an overview of the software, and teach the basics of setting-up and working in an NVivo project.

Suitable for

New and existing users. Researchers wanting an efficient means of handling and analysing their qualitative data. No prior knowledge of the software is assumed; however a basic understanding of qualitative analysis procedures would be helpful.


PC only. NVivo 11.4 is used. More advanced NVivo courses are offered in New Zealand by Academic Consulting – these are an ideal follow up from this introductory one-day course. To view Academic Consulting’s current training schedule, visit http://www.academic-consulting.co.nz/training/schedule.


Free for University of Auckland and UniServices staff
Free for University of Auckland postgraduate students
$250+GST for others


If you are University of Auckland staff, please visit Career Tools to view session availability and register on a session.

For all others, please see our Registration page for more information on how to register or withdraw and our Cancellation Policy.

Dates, times and venues for 2017

October – December 2017

Thursday 19 October 2017, 9.30am-4pm - WORKSHOP FULL.
Room 305, Level 3, Building 620, 49 Symonds Street, City Campus