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Connect your business strategy with Data Science & AI – start September 27th with Data Science & AI Essentials

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At Jheronimus Academy of Data Science (JADS), you will receive education from top universities, Tilburg University (TiU) and Eindhoven University of Technology (TU/e). Since 2016, we have been training data science professionals with excellent business skills, enabling them to navigate the complexities of AI and data science within their organisations. Our courses are designed to convey not only academic knowledge, but also practical skills that are directly applicable in the business world. With a focus on creating tangible impact, we offer programmes that help bridge the gap between academic knowledge and practice. This makes our courses unique and valuable for any professional looking to develop in the field of Data Science & AI.

At 27 September 2024 the Data Science & AI Essentials program for professionals will kick-off. Its aim is clear: to train people to become subject-matter experts within their field who not only understand the basics of Data Science & AI, but can also apply them strategically. After this course, you will become a key connector capable of shaping successful Data Science and AI projects. You will be a sparring partner for management in terms of data opportunities and be able to interact with data scientists and AI experts at a high level. As a bridge between innovation and implementation, you ensure that the potential of Data Science & AI is optimally utilized.

For Professionals who…

AI and data analytics are developing at lightning speed and have a huge impact on organisations. As a professional, do you want to stay ahead in this dynamic world? Then this 6-day may be just what you are looking for! ‘This learning path is ideal for managers and middle managers who want to increase their knowledge of Data Science & AI,’ says Ellen Geerts, Program Manager in Professional Education at JADS. ‘Consultants who want to integrate AI into their work and policy officers who want to stay up-to-date with the latest developments in Data Science & AI will also greatly benefit from this programme. And the best part is, you don’t need any specific prior knowledge!’

Ellen Geerts, Programma Manager Professional Education bij JADS

Programme
On the first day, 27 September, we will start with a kick-off where you will be introduced to the world of Data Science & AI. We explore examples of companies and projects and you will discover your own data maturity. Next, we dive into digital business models. Here you will learn about the latest developments and business models and discover how to create value and what your strategic focus should be. The following weeks we focus on data engineering. With your strategic goal in mind, you will learn how to organise data and prepare it for success. Of course, we also dwell on data-driven decisions. Here you will learn the basics of data analysis and models, and determine the approach for your specific use case. Generative AI, a strong emerging area, will be explored on 8 November. You will learn about the models behind Generative AI, the tools and how to integrate it into your business environment, keeping in mind the risks and ethical considerations. The last day, 15 November, revolves around the successful implementation of data-driven solutions. Each participant will present and define the next steps for their data science & AI strategy.

Want to know more? Continue your read on our website and share this post with your network. Together, we are building a data-driven future!

The full program             Request the online brochure

 

📊 What you will Learn:

  • Understanding AI and data analytics: Understand the methods and how to deploy them for your organization;
  • Technology and cultural integration: Learn what it takes to successfully implement AI;
  • Translate business opportunities: Translate business challenges into concrete data analysis questions;
  • Communicating with technical experts: Have high-level conversations with IT teams and data scientists.


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