Data Science with Python – Learning Journey
26 January, 2026 – Amsterdam, The Netherlands
The Data Science with Python Learning Journey is an intensive, practice-driven program designed for professionals who want to move beyond basic analytics and develop real data-science capability. Across two complementary courses, you will learn how to manipulate data confidently, build and evaluate machine-learning models, and apply advanced analytical techniques used by today’s top data science teams. You’ll begin by strengthening your Python foundations and understanding the end-to-end data-science workflow. From there, you’ll dive into more sophisticated methods such as ensemble learning, unsupervised learning, time-series modeling and a first step into deep learning. The journey is built around hands-on labs, real-world datasets and practical exercises — giving you the confidence to turn complex data into actionable insights and business-ready solutions.
Looking to upskill your team(s) or organization?
Juanette will gladly help you further with custom training solutions.
Juanette Evans
Data and AI Training Advisor
Duration
5 days
Time
09:00 – 17:00 (GMT +1:00)
Language
English
Lunch
Included
Certification
No
Level
Professional
What will you learn?
After the training, you will be able to:
How to prepare, analyze and visualize data using Python and essential data-science libraries.
How to design end-to-end data-science workflows that deliver meaningful insights and practical business value.
How to build, evaluate and improve machine-learning models using both foundational and advanced techniques.
Program
- Learn essential Python tools for data manipulation and analysis.
- Build and evaluate your first machine-learning models.
This training is for you if:
You have basic Python knowledge and want to apply it to real data-science problems.
You want a practical, hands-on journey that builds your skills from fundamentals to advanced methods.
This training is not for you if:
You have no Python experience at all and need an introductory programming course first.
You are already an advanced data scientist looking for highly specialized or domain-specific techniques.
Requirements
Solid understanding of basic Python (variables, functions, loops, simple data structures).
No machine-learning experience required — you will learn everything during the program.
Familiarity with basic statistical concepts (mean, variance, correlation) is helpful but not mandatory.
Why should I follow this training?
Build real data-science confidence
Move beyond theory and learn how to work hands-on with data, Python tools and machine-learning techniques that you can immediately apply in your role.
Accelerate your career growth
Develop the skills companies look for in data-driven professionals, from structured analysis to advanced modeling, enabling you to contribute to impactful projects.
Deliver value with end-to-end workflows
Learn how to turn raw data into clear insights and practical solutions, helping you make better decisions and support your team or organization more effectively.
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
Course information
All literature and course materials are included in the price.
Meet the trainers
Lysanne van Beek
Lysanne is a Data Science Educator at Xebia Data and loves making courses as accessible as possible. With roughly 2,000 hours of training experience and almost 1,500 students taught, she’ll make sure you get the most out of your training.
Lucy Sheppard
Meet Lucy Sheppard, trainer at Xebia Data. Lucy is a data science trainer and teaches many Python courses as well as dbt Learn.
