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.
| College | City College Dublin |
| Course ID | 201969 |
| Course Location | Dublin |
| Location Postcode | Dublin 2 |
| Course Type | Classroom Based |
| Course Qualification | Diploma |
| Awarding Body Details | Professional Diploma in Data Visualisation |
| Course Start Date | 22nd September 2026 |
| Course Duration | 10 weeks |
| Course Time | 6.30 to 9.30pm |
| Course Fee | €895 |

Professional Diploma in Cyberpsychology What you'll learn Psychological behaviour in digital environments Social media, online identity and interaction Technology, cognition and behaviour Ethical considerations in digital psychology Research approaches in cyberpsychology Assessments / Exams A pass grade on the written assignment will be required for awarding the Diploma in Cyberpsychology.
Special Needs Assisting - QQI level 6 - Blended Online Course Details Entry requirements To join the Level 6 SNA course, the minimum age is 17 Years.
Epilepsy Course Details Entry requirements CPD Courses are great for students who may already be working in the SNA, Early Years & Primary School areas to refresh and enhance your current skills.