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Videos

Learn the basics of data engineering at your own pace

Live classrooms

Apply what you've learned in an interactive environment in our offices

Hands-on

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.

Leuven, Belgium

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5 days workshops with online videos beforehand

5 - 9 Sept 2022

English

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  • 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.

Topics covered during our Summer School

Our experienced teachers

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OLIVER WILLEKENS

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.

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MICHIEL DHADAMUS

Michiel is a senior data engineer, with a broad perspective on industrializing data pipelines and programming languages.

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NATHAN DERAVE

Nathan is a senior data engineer who has experience building solutions across three different cloud service providers (AWS, Azure and GCP).

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JELENA GRUJIC

Jelena is a data engineer guiding the deployment of machine learning models into production and transforming SQL pipelines into modular, testable components.

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JAN VANBUEL

Jan is a senior data engineer having deep knowledge on infrastructure automation and ML frameworks. 

BOOKING IS NO LONGER POSSIBLE

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  • Why become a data engineer?
    Data engineers have one of the hottest jobs on the market today. In 2021, most companies have run their first data science experiments, they have started a migration to the cloud and they are collecting more data than ever. In the midst of it all, data engineers aim to bring order in this rapid-evolving world. And as a result, they are in very high demand. That has been true for years and that will be true for the foreseeable future. As a data engineer you get the opportunity to work on the most exciting data challenges for the most innovative companies. You get to develop your interests and build mastery in specific areas of data engineering that excite you the most. You get to choose which company you want to work for and you get to choose how you want to create a dent in the universe.
  • What is a data engineer?
    Data engineers apply software engineering principles to data. The job of a data engineer goes far beyond simply ingesting and cleansing data. They build scalable cloud-native architectures, automate deployment pipelines, industrialise ML models and generally enable the rest of the organisation to do more with data.
  • What is the objective of this course?
    At the completion of this course, the student has the fundamental knowledge and skills to contribute to data projects as a junior data engineer. The student is able to troubleshoot code, fix bugs, and contribute new features. These fundamentals should also give the student enough context to learn further and investigate new things about data engineering. It is not an objective of the course to be a comprehensive guide to data engineering or discuss each technology in depth. We believe becoming a good at anything, including data engineering, takes years of practice and it hard to achieve true mastery. This course should get you started in the right direction though.
  • What do you get at completion of this course?
    Each participant who successfully completes the final capstone project, will receive an official certificate signed by Data Minded. This certificate validates that the student has completed the entire course and has reached the learning objectives of this course.
  • Who are we aiming this curriculum at?
    This set of courses is perfect for people who have a bit of coding experience in python but are new to the data world. We will not be teaching what a for-loop is or an if test. If you want to learn the basics of python, this (TODO: Add link) is a great course to start. We welcome students of all ages and backgrounds. For industry professionals, we encourage to talk to your employer for funding of this course, as it should benefit them at least as much as it benefits you. For students, you can apply for a special 50% discount. We allocate free spaces for underrepresented minorities. This is our small contribution to making the IT and data world more inclusive. Contact us to apply.
  • Why do we organise this course?
    The course was originally set up to get juniors within Data Minded up to speed quickly. We decided to make it available to the world at very democratic prices because we believe the entire eco-system benefits if more people understand the basics of data engineering.
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