Introduction to Data Analytics/Visualisation & Machine Learning

The aim of this module is to introduce the learner to standard business systems to collect and interpret datasets for data-driven intelligence. Therefore, learners will develop an understanding of the need to design and develop database systems, collect, clean, visualise and interpret data rooted in best data analysis practice. The training start date is the 29th January 2025, and the application deadline the Monday, 13th January 2025.

The module is broken down to provide an overview of the following areas

• Introduce the use of database technologies and data visualisation in a relevant industrial context.
• Represent pattern, trends, and correlations through appropriate data visualisation techniques, relevant to the learners of Business and Industrial practice.
• Analyse the application of computational intelligence to decision making problems in a relevant Business and Industrial context.
• Build on the Digitalization of Process module understand the need to generate suitable datasets to extract valuable information.
• Use appropriate software to perform time series analysis and forecasting.
• Investigate approaches to machine learning and select and develop appropriate algorithms for a specific data stream.
• Understand the need for data analytics applications for decision support on an empirical data stream relevant to the learners Business and Industrial practice

On successful completion of the module students will be able to

• Summarise the main elements Data Analytics/Visualisation & Machine Learning
• Differentiate predictive from descriptive analytics in terms of methods and output.
• Analyse the application of computational intelligence to decision making problems in a relevant Business and Industrial context.
• Analyse the results of machine learning algorithms.
• Recognise the role of data visualisation in the process evaluation.
• Demonstrate an awareness of the benefits of data Analysis for industry and society.

Funding

This course offers two funding options:

• 100% funding through project EAGLE: a limited number of fully-funded places are available through Project EAGLE, a collaboration between the University of Limerick, the European Project EAGLE, and Skillnet. Priority will be given to SMEs and start-ups
• 80% funding through the HCI micro-credential course learner subsidy: this option covers 80% of the course fee. For more information on fees and eligibility, please refer to the Fees section. Please Note: Under this structure, applicants may only apply for and receive one subsidised course per semester.