Leading Business Analytics Big Data – Micro-credential at TCD

By Steven Galvin - Last update


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Leading Business Analytics Big Data – Micro-credential at TCD is designed for business innovators and leaders as well as data engineers moving to a management role and provides a roadmap to successfully exploit analytics and big data to bridge the gap between analytical concepts and the value that it can create.

This Micro-credential is designed to cover a range of topics such as development & management of big data strategy, identifying opportunities within AI and predictive analytics, exploring new big data sources such as text & network data, aligning big data strategy with technology and the automation of business processes using predictive analysis.

It is delivered through practical examples, this course guides candidates in understanding the technology behind AI and big data with the aim to enhance communications and collaboration between business leaders and technologists.

Leading Business Analytics Big Data – Micro-credential is also designed to allow participants to assess the big data-driven maturity of their organisation to unlock growth avenues.

Leading Business Analytics Big Data – Micro-credential at TCD

This micro-credential will provide learners with a roadmap to successfully understand and exploit Analytics, Big Data & AI opportunities within an organisation. It aims to bridge the gap between analytical concepts and the business value that can be created from the implementation of Big Data based insights and knowledge.

Based on practical examples, this micro-credential will help professional learners to understand the technology behind Big Data and Artificial Intelligence which will enhance communication and collaboration with Data Scientists and Data Engineers.

• Data & Analytics Strategy: Assess the data driven maturity of an organisation and based on this develop a data & analytics value map with opportunities for an organisation.

• Business Analytics: Get a better understanding of analytical techniques, such as descriptive, predictive and prescriptive analytics. Based on this, participants should better select the correct techniques to successfully implement data & analytical opportunities

• Big Data Technology: Get a better understanding of the technology needed to acquire and analyse data.

• Artificial Intelligence: Smartly combine predictive analytics (machine learning), prescriptive analytics and big data technology to develop systems that are able to mimic human behaviour an create business value.

There is one intake in this academic year in September

Next available start date: 12th September 2022.

Contact TCD / Enquire here


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Steven Galvin

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