Professional Diploma in Data Visualisation

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 content is subject to review after each intake and may be updated in line with industry standards.

A pass grade on the written assignment will be required for awarding the Professional Diploma for this Data Visualisation course.

Similarly, the project must be handed in on the due date unless a sound reason for lateness is provided. In such instances, an extension may be awarded at the discretion of the lecturer.

Data has often been called the new oil because it is a valuable business asset—but in reality, data is the new sunlight. Unlike oil, data can be reused endlessly to drive insights and continually deliver value.

As organisations become increasingly data-driven, the ability to work effectively with data is no longer optional, it’s essential. Our Data Visualisation course focuses on transforming complex information into clear, meaningful stories. Data visualisation is a unique blend of art and science, combining psychological design principles and colour theory with the technical skills required to engineer reliable data sets and analyse them accurately. The goal is to create impactful, insightful, and digestible visualisations that support better decision-making.

Power BI was chosen as the tool to deliver this module. Microsoft Power BI is a powerful, end-to-end analytics platform capable of managing the entire data pipeline—from ingesting and modelling data to presenting insights through interactive dashboards. Its versatility and growing adoption across industries make it one of the leading tools in today’s analytics landscape.

• The average Data Analyst salary in Dublin is €60k.
• Data analysts are in high demand, with job growth continuing year on year.
• This field offers excellent opportunities for career progression and professional development.

At the end of our Data Visualisation course you will be able to:

• Describe the concepts, principles and methods of data visualisation.
• Select and apply a variety of data explorative and pre-processing techniques to a range of data visualisation problems.
• Design and implement appropriate data visualisation techniques to solve data analytical problems.
• Interpret, critique and communicate patterns and knowledge discovered as a result of applying data visualisation techniques to a variety of data sets and analytical problems.
• Research and appraise a variety of data analytics solutions to current challenges in the area.

A City College Dublin’s Professional Diploma Course is a focused, practical programme designed and delivered by an industry practitioner, that consolidates, upskills or reskills learners in a professional area. They are stand-alone qualifications that indicate that you have been trained in a particular area or specific subject matter.

City College Dublin Diplomas are suitable for career minded learners wishing to advance their professional skills and prospects. They are widely accepted by employers and many students are sponsored to study here by their organisation.

In addition to our scheduled Professional Diploma courses, City College Dublin can provide bespoke training over 3 – 4 days, please contact [email protected] for further details.