Develop a sharp eye for your data and use that insight to derive value for your business

In recent years many companies have realised that they have a lot of data, only they don’t know how to interpret it or how their data can be used to add value to the company. This is when data analytics starts to become important.

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Develop your data science competences.

data science-1

Where and how to begin with data science

Not only theoretical knowledge, but to be able to visualise patterns and trends and come up with insights and proposals for value generation.

Mitigate problems before they escalate

Learn how to save costs by using the right data to improve warranty and quality challenges.
Project Management & Leadership for Data Scientists - opening image

Data science in modern business and industry

Translate data and analytics into business value by modern data engineering and architecture.
It is essential that professionals start looking at how their expertise in design for six sigma and reliability relates to data science in the new reality.

Jeroen de Mast

Scientific Director - Holland Innovative

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What we believe works.

In 15+ years of practice, we have generated a clear vision of what competences are needed in different business environments and job roles.

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Take the next step in your personal development.

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