Introduction to Data Analytics/Visualisation and Machine Learning

Partner:

University of Limerick

Next iteration starts:

January 2025

Language:

English

Registration (open till 20th of November)

This module adopts an applied learning approach to identify opportunities and work with data through the lens of the relational database model.

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.  This module adopts an applied learning approach to identify opportunities and work with data through the lens of the relational database model.

"Data is the new oil – harnessing its power through analytics and visualization unlocks insights that drive smarter decisions and innovation. And with machine learning, businesses can take this a step further, anticipating change and staying ahead in an ever-evolving world."

On successfully completion of this module students will be awarded a University Certificate of Study with 6 credits at level 9 on the Irish National Framework of Qualifications.

Course elements

  • 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.
Students will be expected to engage in course work and submit assignments, with a Project Presentation in the final week.

This course is designed for employees of small and medium-sized enterprises (SMEs), job seekers, and individuals seeking to reskill or upskill in cybersecurity. It is not intended for advanced IT professionals.

  • 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

This course is completely free. Co-funded by the European Union.

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