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CRISP-DM for Data Science and AI

Training on the successful implementation of Data Science through the CRISP-DM methodology. Focus on the structured, process-oriented approaches for data science and AI projects.

1 day
Certificate on completion
artificial-intelligence data-science

Learn how to make Data Science truly successful by working according to the CRISP-DM Model.

What can you expect?

CRISP-DM is the standard methodology for analysing, designing and implementing Data Science applications. Learn how to make Data Science truly successful by working in a structured and process-driven way.

What will you learn?

After this training, you have:

  • insight into the goals of CRISP-DM;

  • insight into the different parts of CRISP-DM;

  • insight into the subtasks and required roles, knowledge and skills;

  • access to templates and best practices for direct application in practice;

  • insight into how CRISP-DM will become part of existing methods for analysis, design and implementation.

Training setup

The training combines theory with concrete real-world examples and assignments. You learn from experienced trainers with hands-on experience.

Why take part?

In this training you get an introduction to Data Science and the CRISP-DM method, an in-depth explanation of all steps, best practices, templates, and you work on a personal plan of approach.

Sign up today and lay a solid foundation with CRISP-DM.

  • Introduction to Data Science and the need to work methodically

  • Introduction to CRISP-DM Method for Data Science

  • In-depth CRISP-DM per step

  1. Business Understanding

  2. Data Understanding

  3. Data Preparation

  4. Modeling

  5. Evaluation

  6. Deployment

  • Best Practices and Templates

  • Workshop CRISP-DM: determine the IST and SOLL of your own knowledge and skills and draw up a plan of approach

After completing this training, you receive a Professional Development certificate as proof of the knowledge and skills you have gained.

Who is this training for?

This training is intended for professionals involved in data and AI initiatives:

  • Data Scientists;

  • Data Engineers with an interest in Data Science and AI;

  • Anyone who wants to quickly gain insight into setting up Data Science and AI in a process-driven way.

Desired prior knowledge:

  • No specific technical prior knowledge is required;

  • Affinity with data, BI or IT projects is an advantage.

artificial-intelligence data-science
Voorjaar 2026
Culemborg Available
Friday 15 May 2026 09:00 – 17:00
Register until 1 May 2026
€ 720,00