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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 and the new forms of data, analytics and opportunities in this field. We discuss Big Data, predictive algorithms, machine learning and (Generative) AI. We discuss 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.

We will also discuss:

• 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
• The 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

Do you fit the profile?

• Completed Bachelor's and/or Master's degree and a minimum of two years work experience.
• Ambition to grow into a position where you can strategically think about the use of data that generates value for your organization.