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Join our
Data Engineering
Summer School

11th - 15th September

 
 

Learn data engineering from the pros

Why Join this Summer School?

 
 

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.

 

Yet, it remains unnecessarily hard to get hands-on experience in data engineering.

With our years of experience in the field, and 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.

Summer School at a glance

 
 

On-premise classes at

Leuven, Belgium

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5 days workshops with online videos beforehand

11th - 15th

September 2023

Full program is taught in English

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  • 1.000 EUR for SMEs
     

  • 500 EUR for students
     

  • 2.000 EUR for others
     

15% off for groups of 2-3,
30% off for groups of 4-10
.
Register before July 2nd: -20%

Prices exclude VAT.

Register now

 

What we'll cover in this week

 
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Need more details? Read on in the “what you may be wondering section”.

What you will learn during our courses

 

Our experienced teachers

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Oliver Willekens

Lead - Data Minded Academy

Oliver has trained many students already, and authored our MOOC on DataCamp. Besides the academy, Oliver leads client engagements for Data Minded.

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Nathan Derave

Senior Data Engineer

Nathan has experience building solutions across three different cloud service providers (AWS, Azure and GCP).

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Jan Vanbuel

Senior Data Engineer

Jan has deep knowledge of infrastructure automation and ML frameworks. 

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Jelena Grujic

Data Engineer

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

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Hannes De Smet

Data Engineer

Hannes has experience building streaming engines on multiple cloud providers and is teaching several courses on Azure.

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Michiel Dhadamus

Senior data engineer

Michiel has a broad perspective on industrializing data pipelines and programming languages.

Save your seat

 

Pricing & Discounts

Group Discount
Early Bird Discount
Other categories
SME
Student Pricing
how it works

Making your people more capable data engineers 🚀

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The Winter School was a good amount of challenging. A lot of the concepts were still new despite having gone through the material beforehand. I enjoyed all the exercises, and learned a lot.

 

 Naomi Thiru

Winter School 2022 participant

 
 
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Week details

Save your seat

 

What is Summer School & what will you learn?

 
  • 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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ABOUT US

Getting data done

 

Data Minded is a premium data engineering agency that was founded in 2014. It is our mission to elevate organisations to the next level of data maturity by guiding them to industrialise their data products, modernising their technological data landscape and improving the internal operating model and skills. All of which will make the clients more data minded.

A glimpse of the last Summer School

 
 
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