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Data Analysis courses - follow the links...

NVivo ¦ SPSS ¦ Microsoft PowerBI


Please select the level

Introduction to NVivo – Setting up your qualitative database  

NVivo Underway – Analysing your data


Introduction to NVivo – Setting up your qualitative database

Level: Introductory

Version: QSR NVivo Version 10 Service Pack 6

Course Aim

To assess if NVivo is an appropriate tool for analysing your particular qualitative data set and to provide the requisite skills to set up a properly configured NVivo database and a coding strategy to support the analysis - more details

Course Outcome:

By the end of the workshop participants will understand the advantages and limitations of using a computer for qualitative data analysis and will know how to set up a database, how to import data and how to code data. They will also understand the potential of NVivo as a tool for organising, questioning and reporting on the data so that they can truly support and defend their findings.



  • Introduction - why use a computer for qualitative analysis?
  • The theoretical project
  • A tour of NVivo (theory applied)
  • Auto-coding in practice


  • Building your database
  • Coding your data



A good basic understanding of the concepts associated with traditional manual methodologies for analysing qualitative data and the guidelines and philosophical underpinnigs which support your chosen methodology.


NVivo Underway – Analysing your data

Version: QSR NVivo Version 10 Service Pack 6


Course Aim:

The aim of this workshop is to conduct a piece of analysis using raw data and a research question. By the end of the session, the participants will have; set up a database with a robust architecture; analysed the data using queries and manual analysis where appropriate; reported on the findings - more details


  • Import Questionnaires
  • Import quantitative data and match cases
  • Use coding query (simple) to address part 1 of the research
  • Target a participant set and use coding query (advanced) to group them
  • Auto-code their qualitative responses to a single node
  • Code on their responses to identify reasons for change
  • Share information using annotations
  • Generate preliminary findings using memos (proposition/summary statements)
  • Further interrogate data by automated coding on by demographic value (gender) using an advanced coding query
  • Use text search to augment manual coding and integrate results
  • Use a compound query to refine searches
  • Test preliminary findings against demographics to further explore/analyse results using short graphical queries
  • Create relationship nodes and code data to them
  • Export results and report graphically on weighting of concerns
  • Share/report data with non NVivo users using HTML export
  • Use matrix for deeper integration/exploration of relationships within the data
  • Model findings
  • Report findings


Participants must have completed introduction course to attend this workshop. Ideally, have attended Day 1 relatively recently and have had some time to become familiar with the NVivo interface and completed the fundamental tasks such as importing and preliminary coding of their data.


Please select the level

Level 1 | Level 2 | Level 3


Level 1

 Duration: 1 Day

Introductory SPSS (quantitative/statistical software)

This course provides an intensive introduction to SPSS. It assumes that participants have a basic familiarity with the Windows environment. We examine the features of SPSS for Windows, use a simple data set to cover the topics of transforming variables, selecting data for analysis, then perform basic analyses to produce frequency distributions, summary statistics and cross tabulations before examining some of the extensive graphic capabilities of SPSS. This course would provide an introduction to anyone wishing to analyse their own data using SPSS. This course is taught by an experienced statistician - advice can be sought during the day for specific SPSS problems. Those with sufficient statistical knowledge already would only need to go on this course in order to carry out any analyses. It is not recommended that SPSS and statistics be learnt at the same time.


Level 2



Level 3

Microsoft PowerBI

What is Power BI?

Power BI is a suite of business analytics tools to analyze data and share insights. Monitor your business and get answers quickly with rich dashboards available on every device.


See here for more:

Power BI is a suite of business analytics tools to analyze data and share insights. Power BI dashboards provide a 360-degree view for business users with their most important metrics in one place, updated in real time, and available on all of their devices. With one click, users can explore the data behind their dashboard using intuitive tools that make finding answers easy. Creating a dashboard is simple thanks to over 50 connections to popular business applications, complete with pre-built dashboards crafted by experts that help you get up and running quickly. And you can access your data and reports from anywhere with the Power BI Mobile apps, which update automatically with any changes to your data.

If you are a data analyst delivering reporting and analytics to your organization, Power BI lets you be productive and creative with what you build. Power BI Desktop is a feature-rich data mashup and report authoring tool. Combine data from disparate databases, files, and web services with visual tools that help you understand and fix data quality and formatting issues automatically. With over 20 built-in visuals and a vibrant community of custom visualizations, create stunning reports that communicate your message effectively. With the Power BI service, publish reports securely to your organization and setup automatic data refresh so everyone has the latest information.

Power BI can unify all of your organization’s data, whether in the cloud or on-premises. Using the Power BI gateways, you can connect SQL Server databases, Analysis Services models, and many other data sources to your same dashboards in Power BI. If you already have reporting portals or applications, embed Power BI reports and dashboards for a unified experience.

Course Aim:

This half day course introduces particiants to the concepts and benefits of data visualisations.


Course Outcomes:

At the conclusion of this course participants will be able to apply data visualisations to a set of sample data.



A good understanding of data structures and a level 2 standard of MS Excel.