Overview

This module will cover analysis and visualisation to transform data into usable insight. It will use graphical data visualisation tools for fast insight without using software coding. It is a mix of theoretical and practical aspects of data analysis and visualisation. The module will teach both principles and practice in order to avoid common visualisation errors which lead to inaccessible or misleading results. A programming-free module will be taught using different data analysis and visualisation tools. Tools will be taught from scratch, therefore, no prior knowledge of computer science or programming is required. Learners will require access to a computer where they can install the required tools. The module is taught using software and resources that are free and open source.

Entry Requirements

Applicants should be over 21 years of age. A Level 8 undergraduate, or Level 7 qualification with 3 years experience is required. No prior knowledge of computer science or programming is required.

What you will Learn

• Data Analysis vs. Data Analytics
• Types of Data Analysis
• Data Analysis Process
• Data, Information and Knowledge
• Characteristics of valuable information
• Fundamentals of Data Visualisation
• Types of Data Visualisation and Methods
• Data Visualisation versus Infographic
• Purpose, Planning and Common Mistakes
• Visual Display of Quantitative Information
• Design Principles of Data Visualisation
• Graphical Integrity
• Aesthetics and Technique
• Mapping Data (Quantitative and Qualitative)
• Visual Perception Accuracy
• Data Visualization Tools-fundamentals and practice

Course Outcomes
On successful completion of this micro-credential, you will receive credits as per the European Credit and Transfer System. These credits are recognised by the awarding institution as credits aligned to learning completed at postgraduate level 9.

Learning Outcomes

1. Design effective Data Visualisation according to Design Principles.
2. Select and apply appropriate data visualisation methods.
3. Carry out common data manipulations including pivots, dealing with missing data, and achieving tidy data.
4. Use modern data tools to consume data in multiple formats.
5. Select and apply appropriate data summarisation methods.

Assessments

• Continuous Assessment (100%)

Contact

If you have any questions about this course, please contact:

Micro-credentials Team,
University of Galway

Email: Micro-credentials

How to Apply

From the 1st May 2025, you can apply for this micro-credential through our Online Application Portal.

Learn more about our application process.

Apply here: Online Application Portal

When completing your application please make sure to select the following categories:

College/Interest Type: Software Engineering & Database Technologies

Academic Programme: Select your micro-credential from the drop-down list 

Academic Term: Select the academic term Autumn 2025 (Semester 1) or Spring 2026 (Semester2) 

On Page 2 of the application for please select the following Course Instance: Software Engineering & Database Technologies micro-credentials CPC1