Course
Fundamentals of a data stack course
Duration
3 weeks
Levels
Advanced
Format
Blended Learning
Next Group Start
May 28, 2026
Do you work extensively with data and want to elevate your skills? This training is perfect for you. Learn to use essential tools that streamline data processing, save time, and enable you to work independently with advanced techniques.
Amsterdam Data Academy has been offering this bootcamp for 7 years and has trained more than 1.500 individuals. We understand that learning something new isn’t always easy. That’s why we developed our blended learning method, which focuses on a personal approach. Learn more about our method.
Boost your career
- Improved career opportunities and higher earning potential
- Optional access to top internships in the data world
- Direct access to an online blended learning environment
- A head start on advancing to expert positions
What to expect from this course?
After this course
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Understand the key components of the modern data stack and how they support data-driven decision-making
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Be able to set up and manage basic data pipelines using ETL platforms and data transformation tools
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Apply best practices for data quality, governance, and security within a modern data environment
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Confidently work with data infrastructure to build scalable and reliable data workflows
Discover our unique learning approach
What does Amsterdam Data Academy have to offer you?
Amsterdam Data Academy has been offering this bootcamp for 7 years and has trained more than 1,500 individuals. We understand that learning something new isn’t always easy. That’s why we developed our blended learning method, which focuses on a personal approach.
Blended Learning
We provide online learning with highly interactive live sessions.
Personal approach
We have a limited amount of students per course to give you all the personal attention you need.
Official Diploma
Receive the official diploma from the number 1 data educator in the world.
Teachers of this course
Learn from the best in the business. Our Amsterdam data course is taught by seasoned practitioners with decades of hands-on experience at top global companies.
Yermo Rinsma
Yermo Rinsma is a lecturer at Amsterdam Data Academy, where he teaches Descriptive Statistics as part of the Data Science & AI curriculum. He is also affiliated with IT Academy Noord-Nederland (Hanze University of Applied Sciences), contributing to programs that help professionals upskill in data science and analytics.
With a strong focus on practical application, Yermo brings clarity to statistical concepts and supports learners in building a solid foundation in data-driven decision-making.
Mark Graus
Mark is a data scientist with over 10 years of experience in both in the academic and business industry. He has worked on many data solutions in finance, healthcare, and marketing. Additionally, he has taught and conducted research at various universities, resulting in dozens of scientific publications, primarily in the fields of recommender systems and data-driven personalization.
Marieke Peeters
Flexible Financing Options
We offer multiple ways to make your learning journey more accessible:
UWV support, municipality vouchers, 0% interest TechMeUp loans, and flexible installment plans.
Score
Enroll Now
Ready to join over 1450+ graduates?
Duration
3 weeks
Levels
All Levels
Format
Blended Learning
Next Group Start
May 28, 2026
Fundamentals of a data stack course
This course is for anyone interested in working with data engineering tools, like Azure, Databricks and Snowflake. You do not need prior knowledge of any of these tools to follow this course. Some coding experience is recommended but not necessary.
The course includes
- Interactive live sessions
- Access to learning platform
- Personal help by your teacher
- Access to community group
- Official certified diploma
What you'll learn
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The core components of the modern data stack: ingestion, storage, transformation, analytics, and visualization
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How to design and implement basic data pipelines using ETL tools and data warehouses
-
Best practices for data quality, governance, and security in modern data environments
-
How to build scalable, reliable workflows that support effective data-driven decision-making
Frank Mulders
Nationale golfbond
The instructor took us on a playful, educational, and effective learning journey
Marjolijn van 't Oost
Travel company
We can certainly recommend the training to others
Marcel van Brienen
Marketer
We immediately started working on ML models for our clients
David Roose
Data analist
Dive into data science
Wilbert Groenewoud
Engineering agency
This course is perfectly accessible even without prior knowledge of data
Hanna de Gruijter
Data Scientist
Especially the assignments were very enjoyable to work on
Remko de Jongste
Data Scientist
Due to the course, the promotion quickly became a reality for me
Pascal Bovy
Freelancer
A great introductory course to explore the world of data science
Navneeta Sahal
Data Analyst