REAL-WORLD DATA SCIENCE & AI – 2 DAY INTRODUCTORY COURSE

The Real-World Data Science & AI course is targeted at professionals who want to develop a realistic image of the opportunities that Data Science and AI brings to organizations, and who are interested in learning all different aspects that come into play when pursuing Data Science and AI projects.

What to expect?

During the 2-day course, you will learn about data science and AI. we focus on:

• AI and the new forms of data, analytics and opportunities in this field.
• Big Data, predictive algorithms, machine learning and (Generative) AI.
• Typical applications, ranging from Data Science to make current processes and services more efficient, to new products with smart features, and data and analytics as a basis for new business models.
• Types of Data Science projects that are and aren’t feasible, along with the typical red and green flags when considering the feasibility of these projects
• Data-analytic thinking and the CRISP-DM model for executing data science & AI projects
• Ethical aspects that need to be considered when pursuing data science & AI projects
• Cases and examples to put what you have learned into practice

You walk away with

1. A clear understanding of data science & AI, the terminology in these fields and what the main applied techniques in these fields actually come down to.
2. The components that come into play when executing a data science & AI project. Both from the perspective of the different phases that a data science & AI project goes to, as well as from a business and ethical perspective.
3. Realistic expectations of the tremendous opportunities that data science & AI brings, as well as a clear picture of what it won’t bring, making you better prepared to help your organization to think about realistic ways forward.
4. A certificate of attendance

Language: English
Workload: 16 hours (class) + 4 hours (preparation)
Price, normal: €950 price for the first 20 SME manufacturing entrepreneurs via Klikopmorgen: FREE.

• Date: 6 en 13 February 2026
• Tijd: 9.00 a.m. – 5.00 p.m.
• Locatie: TU/e Campus, EAISI
• Adress: 5612 AZ Eindhoven