NVivo Events Calendar
Public Training Event
All researchers, academics, service staff, and students who are collecting qualitative data involving: interview transcripts, photos, audio, video, spreadsheets, databases, literature reviews(pdfs), bibliographic references; social media contents (twitter, blogs, linkedIn, facebook) and Evernote files and are aiming to qualitatively, analyse the data using any methodology including mixing qualitative and quantitative data.
Our public training courses are designed for the complete beginner as well as those who have used previous versions of the software: NVivo 9, NVivo 8, NVivo 7, N6, and NVivo 2. And also those who have the basis but which to learn some of the newer and advance skills.
No previous knowledge is required. You are encouraged to bring your own data, if you have any; at least one literature search in PDF related to your study, one transcript of one interview in Word format. We will provide data if you have not got your own. We provide laptops for all participants, however if you prefer to work from your own laptop, then you are welcome to bring it, making sure that NVivo is installed. If you have not yet acquired your own NVivo licence, you could download a FREE 30days trial copy from QSR website.
Reserve your place now
To ensure that high quality and responsive learning support is given to each participant, we only take a small class size of maximum 9 participants. Therefore it is important you register your interest early to secure a place on the course.
Please note: The course may not run on the published venue if we have less than 4 registered. We will ring you to negotiate a different venue or make an alternative arrangement to run the course for you.
Public Scheduled Training Events
What our client says
I felt that the training was delivered in a very accessible manner, the days were structured well and I got a lot of 1:1 support. The material was well organised and very easy to understand. I enjoyed that you made the days more informal and fun and we were able to do things at our own pace. I feel that I learnt everything I hoped for and that the package is much more useful than I first thought. I didnt know anything before whereas I feel I have a good developing knowledge now. I particularly found the use of 'nodes' very good.
Hannah Nelson, Trainee Clinical Psychologist, Merseycare NHS, June 2012