The aim of data visualisation is to effectively communicate information through a graphical means. You’ll learn basic data visualisation principles and how to apply and represent them effectively. Data visualisation provides a powerful way to communicate data-driven findings and analyses. You will gain the skills you need to leverage data to reveal valuable insights and advance your career.

• Representing data in one, two and higher dimensions including the visualisation of spatial data.
• Apply best practice principles for the graphical communication of data.
• Explore data sets using dynamic and interactive software tools.
• History, current trends, and emerging themes in data visualisation.

A number of software applications will be introduced including Tableau and R based data visualisation libraries including ggplot2. No prior knowledge of these software applications will be assumed.

This course combines a mix of lectures, practical work, and informal discussions around important topics in data visualisation. Students will be required to critique existing visualisations, find interesting data sets, and create their own visualisations.

The course will be of interest to individuals involved in the collection, analysis or interpretation of data, as well as for those responsible for the communication of data to a range of audiences. It is not necessary to have a technical background in data analysis to benefit from this course.

You will be required to complete two assignments during the year, but there are no written examinations.

You will gain the skills needed to work with data in a wide variety of organisations, including manufacturing, financial services, market research and the broader public sector.

If you already hold an Honours Degree you may apply for a related Masters Degree course or for a suitable research postgraduate Masters Degree in IADT. If you do not hold an Honours Degree, you may be interested in IADT’s undergraduate degrees programmes in Applied Psychology or Creative Computing.

The course will be delivered on campus over 4 days (Fridays) from 10am to 4.30pm:

• Friday, 11th November 2022
• Friday, 9th December 2022
• Friday, 20th January 2023
• Friday, 17th February 2023

Leaving Certificate Examination or equivalent (NFQ Level 5). Applicants without this may be considered based on their prior experience and learning through our RPL (recognition of prior learning) process.

Applications clode Friday, 4th November at 4pm.

“The Creative Futures Academy arrived at an ideal time for me. I had just finished a four-year honours degree, for which I was still paying. Covid-19 lockdowns were in place. I could not possibly have started taking a Master’s degree. I saw a LinkedIn post about applying for short courses on the IADT website. As I have qualified in multimedia journalism, the Data Visualisation Certificate seemed ideal – held online over weekends in two semesters. The time commitment was perfect.

I have learned what standard is expected on a Master’s course, while gaining ten credits which I can put towards a degree in future. I am much more likely to take another degree, having started on the journey. This is an excellent way to gain specialist creative skills, which can be used alone or lead into further studies. The qualification looks good on a CV, enhancing my technical capabilities, and has many practical applications in website, business or research work. I can highly recommend the Creative Futures Academy.”

Clare O’Beara, 2022 graduate