Bootcamp
Data expert bootcamp
Duration
Levels
Format
Next Group Start
Apr 16, 2026
Do you want to become an all-around expert in data science and engineering? Then this is the bootcamp for you to master multiple platforms. In this program, you will gain expertise in working with Power BI, Azure, and Python.
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 is not always easy. That’s why we have developed our blended learning method, which focuses on a personalized approach. Learn more about our method.
Boost your career
- Improved career opportunities and earning potential
- Optional access to top internships in data
- Direct access to an online blended learning environment
- A competitive advantage for advancing to expert positions
What can you expect?
After this bootcamp
- You all you need to know about datascience and data engineering
- You have knowledge about visualize data in Power BI
- You have learned how to program in Python
- You have knowledge about building a Machine Learning model in Python
- You have learned how to structure and maintain data within Azure
- You have knowledge about the ethics of data
- You have the basic knowledge about data engineering
- You are able to use this knowledge in practice in your job
Bootcamp program
» Course 1: Fundamentals of datascience & AI
In the first module, we cover the key data science applications and educate you on the machine learning models that are commonly used in practice. Additionally, we address several mathematical and statistical concepts that are relevant for the later part of the course. Read more >>
» Course 2: Data engineering with Azure
In this course you learn how to work with Azure to structure and store your data. You know how to connect your input data sources to Azure. But also, you know how to use the data in Azure by pushing it to Power BI or other tool. Read more>>
» Course 3: Fundamentals of a data stack
Now the real work begins. You’ll work with some commonly used and important tools in the field of data engineering. With these tools, you’ll achieve significant time savings in data processing. You’ll learn how to use the tools and understand when to use them. Read more>>
» Course 4: SQL
This module introduces you to the fundamentals of SQL for working with structured data. You will learn how to write queries to select, filter, and join data across multiple tables. We cover essential SQL functions and focus on real-world data examples. Finally, you will build your own queries to analyze datasets efficiently.
» Course 5: Programming with Python
In the first week of this module, we’ll take you through the fundamentals of Python. Then, you’ll spend two weeks programming in Python. Finally, you’ll write your own code and conclude this block with a programming assignment in Python. Read more>>
» Course 6: Machine Learning with Python
This module brings together machine learning and programming with Python. You will learn how to actually build a machine learning model in Python. We cover common libraries and extensively focus on Pandas. Finally, you will build your own model using Scikit Learn in Python. Read more>>
» Course 7: Deep Learning with Python
This Deep Learning module dives into the fundamentals of neural networks, covering architectures like CNNs, RNNs, and transformers. You’ll gain hands-on experience building models for image recognition, natural language processing, and other advanced AI applications.
» Course 8: AI Literacy
This module explores the foundations of artificial intelligence and its role in today’s society. You will learn about the ethical, legal, and social implications of AI, including key frameworks like the EU AI Act. We cover real-world examples of responsible and irresponsible AI use. Finally, you will apply these insights to evaluate and design AI strategies in your own work context.
» Course 9: Final Assignment
Now, it’s time to put your knowledge into practice! In this module, you’ll engage in a hands-on practical case, working independently. This assignment will encompass various topics covered in the previous modules and receive intensive guidance from your personal mentor. You’ll conclude with a final presentation that you’ll share with your fellow participants.
» Optional: Internship & career counseling
As an optional step (additional cost of 995 euro) you can do an internship at a company to further develop your datascience skills. Also, we will actively help you in finding a job after the program. This is typically interesting if you seeking a datascience role after the program. Previous students who were seeking a job have been succesful in finding a job by 80 tot 90%. More information >>
Discover our unique learning approach
What does Amsterdam Data Academy have to offer you?
Amsterdam Data Academy has been offering this bootcamp for seven years and has trained more than 1,500 people. We understand that learning something new is not always easy. That is why we have developed our blended learning method, based on a personal approach.
Blended Learning
We offer blended learning with highly interactive live sessions.
Personal approach
We have a limited number of participants per course to ensure we give you all the personal attention you need.
OFFICIAL DIPLOMA
Receive the official diploma from the number 1 data trainer in the Netherlands.
Teachers of this bootcamp
Ali Hurriyetoglu
Joanne Lijbers
Bram Bregman
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
Sign up
Duration
27 weeks
Levels
Advanced
Format
Blended Learning
Next Group Start
Apr 16, 2026
Data expert bootcamp
This bootcamp includes:
Interactive live sessions
Access to the learning platform
Personal guidance from your instructor
Access to the community group
Official certified diploma
What will you learn?
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The fundamentals of data science, data engineering, and data ethics
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How to program in Python and build machine learning models
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How to visualize data using Power BI and manage it effectively within Azure
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How to apply your knowledge in real-world professional settings
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
