Data Management and Visualisation

In today's data-driven world, the importance of data analysis and visualisation techniques cannot be overstated. As more and more industries are inundated with vast amounts of data, it has become essential for professionals to possess the skills necessary to make sense of this information effectively. This microcredential aims to equip students with a comprehensive understanding of various tools and statistical techniques used in data analysis and visualization. By gaining proficiency in these areas, students will not only be able to navigate through immense volumes of big data but also have the ability to extract valuable insights from it.

This course will empower students with the capability to identify suitable approaches for business-related issues using their newfound knowledge. This skillset is invaluable as analytics plays an increasingly pivotal role in strategic decision-making processes within organisations across different sectors.

Having completed the Data Management and Visualisation module students will be able to:

• Explain the term Data Analytics and summarise the challenges and opportunities for businesses of effectively mining, managing, analysing and reporting on their data.
• Compare and contrast traditional relational database management systems with non-relational databases developed for dealing with 'Big Data'
• Apply suitable data visualisation techniques do a wide variety of variable types and develop dashboards using Tableau.
• Use R to create professional data analytics reports on real-case scenarios applied to the world of business and management
• Detail the most recent techniques and applications for analysing databases in organisation environments.

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis. 

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport

There is no availability for a deferred entry onto a micro-credential.

If applicable, evidence of competence in the English language as per DCU entry requirements.  Please see here.

For further information regarding the HCI learner subsidy eligibility criteria please click here. (https://hea.ie/skills-engagement/hci-pillar-3-micro-credentials-learner-fee-subsidy/).