Professional Diploma in Data Visualisation

Credit Value: Professional Diploma | Duration: 10 Weeks.

This course is available via live online learning or part time, on campus.

The Professional Diploma in Data Visualisation is designed to provide learners with a strong foundation in data analysis, visual storytelling, and dashboard development. This hands-on programme introduces students to the principles and practices of transforming raw data into meaningful insights using modern visualisation techniques, with a strong focus on Microsoft Power BI.

Learners will develop expertise across key areas including data visualisation theory, data preparation and preprocessing, statistical analysis, interactive dashboard creation, and visual analytics, while also building practical skills in interpreting and communicating data-driven insights.

This programme also provides pathways into data analytics, business intelligence, and computer science-related study and entry-level roles in the ICT and data sector.

Learning Modes

Live Online
Delivered through live online lectures with real-time instructor–student interaction and access to recorded sessions for review.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• Fully online with archived access

Fees: €895

On Campus
Delivered in a classroom environment in Dublin 2 with interactive, small-group learning.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• City centre location

Fees: €995

Qualifications

Professional Diploma in Data Visualisation

Modules

This programme covers the full data visualisation workflow from theory to applied analytics using Power BI.

Theory and Concepts of Data Visualisation

• History of data visualisation
• Types of visualisation (information, scientific, infographics, visual analytics)
• Cognitive and perceptual principles in visual design

Introduction to Power BI

• Installation and setup
• Data import and transformation
• Creating dashboards and visualisations
• Building interactive reports

Data Pre-processing Techniques

• Data cleaning and preparation
• Handling missing or inconsistent data
• Data aggregation and sampling
• Data normalisation and transformation

Data Analysis

• Data interrogation techniques
• Calculations and formulas for insights
• Exploratory data analysis

Statistical Data Visualisation Methods

• Histograms, boxplots, scatter plots
• Correlation and pattern analysis
• Univariate, bivariate, and multivariate visualisation

Advanced Visualisation Techniques

• Interactive dashboards
• Geospatial and hierarchical visualisation
• Network and relationship mapping

Visual Analytics

• Pattern recognition and anomaly detection
• Data mining visualisation techniques
• Evaluation of visual outputs

Data Analytics Techniques

• Strengths and limitations of visualisation methods
• Comparison of analytics approaches
• Real-world application challenges

Entry Requirements

This course is suitable for beginners and individuals interested in developing data and analytics skills. No prior qualifications are required, though basic computing experience is beneficial.

Assessment

To achieve the Diploma, learners must complete:

• Written assignment (pass required for certification)
• Project submission based on Power BI and data visualisation tasks

All assessments must be submitted by the specified deadlines unless an extension is granted.

Learning Outcomes

Upon completion of this programme, learners will be able to:

• Understand key principles and theories of data visualisation
• Use Power BI to build interactive dashboards and reports
• Apply data cleaning and preprocessing techniques
• Analyse and interpret data using statistical methods
• Communicate insights effectively through visual storytelling
• Critically evaluate visualisation methods and analytics tools

Career & Progression Opportunities

Graduates may pursue roles in:

• Data Analyst
• Business Intelligence Analyst (Junior Level)
• Reporting Analyst
• Data Visualisation Specialist (Entry Level)

This qualification also supports progression into:

• Advanced Data Analytics programmes
• Data Science and Computer Science study
• Business Intelligence certifications

Why Choose This Course?

✔️ Industry-focused training in Power BI and data visualisation
✔️ Strong foundation in analytics and storytelling
✔️ Beginner-friendly entry into data careers
✔️ Practical, project-based learning approach
✔️ High-demand skills in a growing job market
✔️ Flexible learning options available
✔️ Pathway into data analytics and BI roles