From Zero to NVivo 12 – Qualitative data analysis with NVivo
What you’ll learn
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Use NVivo 12 for Qualitative data analysis
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Explore the data, make a note of your observations and link these notes to other elements of the project
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Categorize your data into folders, sets and cases
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Create Mind Maps reflecting your assumptions, observations and expectations
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Compare cases by attributes and values (e.g. did men and women express similar views?)
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Code the data and create a thematic framework
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Run professional data analysis using coding queries
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Create Project Maps and Concept Maps to explore and visualise links in your project
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THINK like a professional qualitative researcher!
⭐⭐⭐⭐⭐ “A million times better than the ones at my uni! ” – Claire L. Johnston
⭐⭐⭐⭐⭐ “I highly recommend this course and instructor. He is a savior for the new researcher!!!!” – Jody Bergstrom
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Whether you are completely new to NVivo, or have some previous experience with it, you will find this course both useful and enjoyable.
I am a professional researcher, research consultant and academic tutor, and in this course, I will teach you complex ideas in a simple and approachable way and I will make sure that when you complete it:
➡️ you will be able to use a variety of functions of NVivo, ranging from simple note-making, sorting and coding to more complex data queries (see the details in the “What you’ll learn” section above)
➡️ you will understand how NVivo can help you take Your data analysis to a higher level. You will have a good understanding of what can be done to enrich your data analysis and how to use NVivo for this purpose
➡️ you will impress your supervisors, teachers, employers or colleagues with the depth of the analysis you undertake
The best thing about this course is that all lessons are logically connected – the analytic ideas that emerge early in the course when we record our initial thoughts will be later tested when we learn to code and conduct various coding queries. I do not just talk about how to conduct a given query without first explaining what this query is, how it will help us, and why we may want to conduct it in the first place!
This is, in fact, what my students seem to like most about my courses – the way I explain things, the way the lessons are organised and the way I support my students throughout (I am very responsive to messages and always do my best to assist each student personally).
I hope that you will take this course and we will soon embark on this exciting analytic journey together!
⚠️ Please not that the course was recorded on the WINDOWS version, and although it is very similar to the MAC version, some may find the differences confusing
⚠️ NVivo 12 Pro was used for recording the course. In March 2020, a new NVivo update came out and the layout of NVivo changed slightly. HOWEVER, all options and functions I discuss in the course are still exactly the same
Who this course is for:
- Those willing to learn to use NVivo for Qualitative data analysis (Beginner Level)
- Those who have already used this software but want to develop their skills further (Pre-intermediate Level)
- Students undertaking their Master’s/PhD study
- Academics & Researchers wishing to improve their skill set
- Recent graduates wishing to increase their employability (being able to use NVivo is a valued skill in research and academic jobs)
12 reviews for From Zero to NVivo 12 – Qualitative data analysis with NVivo
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Original price was: $39.99.$16.99Current price is: $16.99.
Diana Wangeshi Njuguna –
I truely benefitted from this course, i have learnt so much and I can say I have adequate knowledge as far as Nvivo is concerned. thank you so much for this. I highly recommend this course!
Vamshi Malli –
Wonderful intro course as well as a great refresher for returning students. I would love to see a more detailed version as well with complicated data sets! :
)
Tricia Fernandez –
I learnt a lot about NVivo through this course! The instructor is able to thoroughly explain the steps taken to perform coding, thematic analyses, etc. Just a suggestion to include more datasets so that we can have more practice 🙂
Mark Anthony Arcega –
For a person with no familiarity or experience with the software, the course was extremely helpful in introducing NVivo and also provided meaningful insights in analyzing qualitative data using NVivo.
Martina Tenzer –
Very good course. Exactly what I needed to get an insight in how NVivo works and the advanced application of it. Very much recommend this course.
Wing Fu –
This course is excellent. I learned a lot more from this course than from the training course offered by NVivo.
Vincenzo Galvano –
Dr. Kriukow does an excellent job explaining and giving students a step by step lesson guide to utilizing the platform nvivo. The organization and pacing of the lectures are superb! After completion and with following along each lecture, I was confident to engage with nvivo and experience minimal issues. Moreover, Dr. K also provides answers to questions/comments at a decent respond time via his facebook page. So it’s nice to have live feedback whilst taking the course. The only drawback is that his lectures are through Microsoft’s version of NVIVO. So as a Mac user I had to take extra time to discover things since all functions were not 100% the same. It would be great if Dr. K also made some important videos with mac platform as well. Nonetheless, with patience and a positive attitude those differences do not bother since the concepts are well explained by Dr. K – Recommend for anyone interested or in necessity of learning Nvivo!
Victoria Bojonca –
I am preparing for the active stage of fieldwork for my research and learning how to use Nvivo for my data. The instructions are to the point, clear and visuals help a lot!
Already now I follow the instructions along working with my data and already seeing results.
I am really impressed with the course and highly recommend it.
Danielle do Carmo Pimenta Rioga –
The course was excellent and it will be very useful. Dr J explained the topics very well and gave examples for each part exposed. Thank you very much!
Hue Vuong –
Very useful, easy to understand and practice! thank you.
Jinny McGrath –
Like that you can pause, go to your own data and do that task and can come back
Sasindu Maheepala –
This is an excellent course! I learnt so much. Thank you!