Learn the basics of data engineering at your own pace
Apply what you've learned in an interactive environment in our offices
Build the practical skills to succeed as a data engineer
Learn data engineering from the pros
If you have some experience in programming with Python and are looking to take the next step, you might be overwhelmed by the amount of information that is available. You can find an abundance of blogs and tutorials about data engineering online and there are several academic courses that can teach you the theory.
Yet, it remains unnecessarily hard to get hands-on experience in data engineering. With our years of experience in the field, building actual solutions for our clients, we aim to go beyond the theory and teach you all that you need to know to become a productive data engineer.
5 days workshops with online videos beforehand
5 - 9 Sept 2022
1.000 EUR for SMEs
2.000 EUR for large companies
500 EUR for students
20% discount for groups of 2-3, 40% discount for groups of 4-10.
What to expect from the Summer School
During the Summer School, we will immerse our students in the world of data engineering through practical workshop on the key elements of data engineering. At the end of this week, each student will have the fundamental knowledge and skills to contribute to data projects as a data engineer. They will be able to contribute significant data transformation pipelines, get those in production and improve the effectiveness of the team they're working with.
Our experienced teachers
As the lead of the Data Minded academy, Oliver has trained many students already, including on DataCamp. Besides the academy, Oliver leads client engagements for Data Minded.
Michiel is a senior data engineer, with a broad perspective on industrializing data pipelines and programming languages.
Nathan is a senior data engineer who has experience building solutions across three different cloud service providers (AWS, Azure and GCP).
Jelena is a data engineer guiding the deployment of machine learning models into production and transforming SQL pipelines into modular, testable components.
Jan is a senior data engineer having deep knowledge on infrastructure automation and ML frameworks.