
The following topics are covered on our Data Visualisation Course:
Theory and Concepts of Data Visualisation
• History of data visualisation.
• Understand the various categories used in the field e.g., Information/data/scientific visualisation, infographics, visual analytics.
• Investigate theorists and best practice in these fields, e.g., cognitive amplification, perceptual enhancement and ways to encourage inferential processes.
Introduction to Power BI
• How to download and install Power BI
• How to import data into Power BI
• How to transform Data within Power BI
• How to create data visualisations with Power BI
Data visualisation pre-processing techniques
• Learn data cleaning techniques relevant to data visualisation – data aggregation, data sampling, impute missing data, find inconsistencies.
• Learn transformation techniques – data normalisation, construct new variables, investigate how to use regular expressions and data manipulation techniques to pre-process data sets.
Data Analysis
• Learn how to interrogate data
• Learn creating calculations and formulae to drive insights
Data Visualisation traditional statistical approaches
• Histograms, boxplots, scatter plots
• Analysing correlations and patterns between variables
• Univariate, bivariate and multivariate ways of presenting data
Advanced visualisation techniques
• Investigate computer-based tools for visualisation and their features – interactivity, geospatial methods, hierarchical and networks solutions.
Visual Analytics
• Understand and critique the various visualisation methods used to solve data mining and data analytics problems, e.g., anomaly detection, pattern discovery.
Data Analytics Techniques
• Investigate the main pitfalls in data visualisation and data analytics in a realworld setting.
• Compare and contrast data analytics techniques investigating their theoretical principles, assumptions, strengths and weaknesses.
| Course Location | Dublin |
| Location Postcode | Dublin 2 |
| Course Category | IT Data Analytics, Computers & IT (Information Technology) |
| Course Qualification | Diploma |
| Awarding Body Details | Professional Diploma in Data Visualisation |
| Course Start Date | 19th May 2026 |
| Course Duration | 10 weeks |
| Course Time | 6.30 to 9.30pm |
| Course Fee | €895 |



Course structure Our Criminology and Forensic Psychology Course is delivered as follows: Introduction: nature or nurture? Measuring crime – separating fact from fiction.
Course structure The focus of this Psychology course is theoretical although discussion and practical examples of relevance will be discussed throughout.
Entry requirements To be eligible for these exams, students must have an approved Law degree or have completed the King’s Inn Diploma in Legal Studies course.