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The Institute of Analytics (IoA) is partnering with the Deep Tech Talent Initiative, a pioneering programme led by the European Institute of Technology and Innovation (EIT) that will skill one million people within deep tech fieldsby 2025. 

The IoA has signed a pledge to contribute to the EIT Deep Tech Talent Initiative by offering access to one of its most popular learning programmes. A not-for-profit organisation, the IoA is the professional body for analytics & data science professionals both in the UK and internationally to promote greater awareness, understanding and innovation. 

Deep tech innovations – cutting-edge technological solutions combining science and engineering in the physical, biological and digital spheres – are indispensable in addressing the most pressing global challenges. However, the European workforce currently lacks the skills needed to leverage these new technologies. The EIT aims to address this gap, in line with the European Commission’s New European Innovation Agenda, by developing a strong deep tech talent pool across Europe.

To address the mission of training one million individuals in deep tech before 2025, the EIT launched the ‘Pledge for Deep Tech Talents’ enabling partners and sponsors to contribute to the development and delivery of the initiative's courses and training. The Pledge brings together public and private organisations, industry representatives and champions,

academic partners, education providers as well as Member States to support  the initiative.

As an Education Partner, the IoA is providing access to its Data Engineering Tool Kit - a four-part course that takes elementary coders with limited knowledge of Python and SQL through the necessary steps to build MLOps pipelines and run analysis on structured and unstructured data, including Machine Learning.

Commenting on their Pledge, Dr Clare Walsh, Director of Education at the IoA, said: “One of the things that we’re most excited about with this project is the commitment that the EU is making to inclusion. Data Science can seem a daunting field to move into when you’re on the outside. Initiatives like this are essential to encourage alternative ways into deep learning professions. These jobs can be personally and financially rewarding for the individual, but it is also essential to develop this sector to support the societies that we all live in.”