Exciting news! Le Wagon's data science bootcamp now includes more AI. Explore the upgrade!
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4.98/5 - 6,000+ student reviews

Data science & AI
course in Brussels

  • ✔️

    Learn with the #1 ranked tech bootcamp

  • ✔️

    Graduate in 2 to 7 months, online or in person

  • ✔️

    Get a data job in 3 months on average

Brussels

Our data science alumni are now working at:

IBM Capgemini Getaround BCG Asos Meta
Le Wagon logo Apply now
Overview

Become a Data
Scientist in weeks

Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.

  • ✔️

    Learn essential data analysis methods and tools

  • ✔️

    Master Machine Learning and Deep Learning

  • ✔️

    Create AI solutions and advanced predictive models

  • ✔️

    Build a solid portfolio and learn to work in a data team

You will master these programming languages and tech tools:

Python Python
SQL SQL
Jupyter Jupyter
Pandas Pandas
Git Git
Docker Docker
Scikit-Learn Scikit-Learn
Hugging Face Hugging Face
OpenAI OpenAI

Apply for the next data science & AI bootcamp

Next date

Jul 8, 2024

Availability

Limited seats

See all sessions
Apply now

curriculum

What you’ll learn in this data science & AI bootcamp

Gain the skills needed for a successful data science career. Learn to create Machine Learning and AI models, and deploy them into production while working with a team.


40h

Preparation work

Once you’ve been accepted, you'll receive about 40 hours of online learning resources, carefully curated by Le Wagon to be intuitive and interactive. This prepwork will ensure you have the necessary foundations in programming and maths before the bootcamp starts.

What you will do in practice:

  • 40 hours of online tutorials
  • Utilize curated resources from Le Wagon to gain solid foundations

Software and languages you will learn:

Python Python
Git Git

40h

Understand the fundamentals of Python

It’s highly recommended that you join our online pre-bootcamp Python introduction. During this time, collaboratively engage with your instructors in a live online setting to understand the fundamentals of Python. Familiarize yourself with technical terminology, key concepts and the right learning mindset before your first day of the bootcamp.

What you will learn:

  • Master the fundamentals of Python
  • Grasp the basics of Object-Oriented-Programming (OOP)
  • Build a solid foundation in Python to tackle a variety of programming challenges

Software and languages you will learn:

Python Python

80h

Learn Python for data science

Extract data from relational databases, manipulate big data matrix and build visualizations. Understand key maths concepts for data analysis like statistics & linear algebra.

What you will build in practice:

  • A database built by scraping data from online bookstores
  • Advanced analysis of football performances in SQL
  • Visual dashboard connected to stock-market APIs

Software and languages you will learn:

Python Python
SQL SQL
Jupyter Jupyter
Pandas Pandas
Numpy Numpy
Matplotlib Matplotlib
Seaborn Seaborn
BigQuery BigQuery
Plotly Plotly

40h

Put yourself in the shoes of a Data Consultant

Learn how to survive the data preparation phase of a vast dataset. Extract insights by interpreting statistical results based on multivariate regression models, hypothesis testing, and confidence intervals.

What you will do in practice:

  • A 40-hour data consulting challenge, featuring real data from a marketplace
  • Individual presentations of your key findings directly to your client

Software and languages you will learn:

Python Python
Statsmodel Statsmodel

80h

Implement the Machine Learning workflow

Implement the Machine Learning workflow with Scikit-Learn (data preparation, feature engineering, model selection, evaluation, and fine-tuning) and understand maths intuitions and numerical implementations of ML models.

What you will build in practice:

  • Machine Learning models perfectly fine-tuned to your tasks
  • Pipelines combining data processing and model predictions
  • Image compression model by color clustering 
  • Spam detection algorithms
  • Prediction model for house prices

Software and languages you will learn:

Scikit-Learn Scikit-Learn

40h

Dive into Deep Learning

Become proficient in neural network architectures and parameters, constructing networks for image, sequence, and text analysis. Dive into AI by coding a transformer from scratch and developing GenAI applications. Gain practical skills with pre-trained "big models" from cutting-edge open-source research.

What you will build in practice:

  • Dense neural network for fraud transaction detection
  • Transfer learning for image classification
  • Recurrent networks for weather forecasting
  • Recoding a transformer from 0 to perfectly understand all the architecture
  • Fine-tuning your own LLM for your need

Software and languages you will learn:

Tensorflow Tensorflow
Keras Keras
Google Colab Google Colab
Hugging Face Hugging Face

40h

Train your model

Turn your best handcrafted models into a replicable Python package that can be trained on big data in the cloud, using virtual machines and online databases. Monitor your model performance as new data comes in, retrain it when needed, and expose its predictions to the world via APIs or websites.

What you will build in practice:

  • ML model for predicting taxi fares, trained on big data on the cloud with GPUs
  • Visual web dashboard showing live predictions (on charts, maps, etc.)
  • Trained models in production capable of self-healing

Software and languages you will learn:

Google Compute Google Compute
Cloud storage Cloud storage
BigQuery BigQuery
ML flow ML flow
Docker Docker
FastAPI FastAPI
Prefect Prefect
Streamlit Streamlit

Leverage AI in your projects

Through a series of live lectures, harness the capabilities of Generative AI tools to streamline your coding workflows and explore vital ethical considerations in AI. Gain insights into making complex AI models comprehensible to stakeholders and focus on the implementation of effective CI/CD pipelines.

You will learn to:

  • Enhance your coding efficiency using Generative AI tools 
  • Navigate the AI landscape ethically
  • Make complex AI models understandable using techniques like Shapley Values
  • Implement effective CI/CD pipelines

Software and languages you will use:

ChatGPT ChatGPT
Copilot Copilot
LangChain LangChain

80h

Build you own data science project

The project phase is the ultimate experience of the course. Collaborate efficiently in teams of 3 or 4 on a real data science project. Use either open-data repositories (government initiatives, Kaggle, Paper with Code, etc...) or bring your own private dataset. With full-time mentoring from expert teachers, let your wildest dream come true!

What you will build in practice

  • Make an app with a live demo of model predictions
  • Create an in-depth analysis of a business dataset
  • Replicate latest AI research papers with Big Models!

Start your career in data science!

From the moment you embark on your tech journey, our dedicated career services team is there to provide you with tailored guidance throughout and beyond your training. Connect with our vast network of 1000+ hiring partners, benefit from 1:1 coaching and much more!

  • Elevate your personal branding & get technical interview training
  • Benefit from 1:1 coaching & key alumni Q&A sessions
  • Connect with an extensive network of 1000+ hiring partners
  • Get a lifetime access to Le Wagon content

Learning Schedule

Choose the learning schedule that suits you

Whether you prefer an intensive full-time option or a flexible part-time format, our course are tailored to your needs.

Le Wagon's students learning on campus

Full-time

Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.


  • ✔️

    Graduate in 2 months

  • ✔️

    All day peer-to-peer learning

  • ✔️

    40 hours of study in total, per week

Le Wagon's students learning online

Part-time

You want to keep your job or have personal commitments? Learn in your free time.


  • ✔️

    Graduate in 7 months

  • ✔️

    Flexible peer-to-peer learning

  • ✔️

    16 hours of study in total, per week

our method

Boost your skills learning from passionate data science & AI experts

Our experienced teachers will help you quickly learn practical skills and build a strong foundation to begin your data science career.

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    Practice on real-life projects using real data

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    Join a group of like-minded peers to support you

  • ✔️

    Get career coaching to land your dream job

Web development students

Meet our course creators and data science experts

The top tech recruiters choose Le Wagon graduates

  • Nicolas Ngoy-Tha working at Novutech
    quote
    Our first hire, a graduate of Le Wagon Brussels, was a remarkable success and continues to play a key role in our team. Since then, we have hired additional Le Wagon graduates, which has only solidified our faith in the excellence of the Le Wagon program.
    Novutech

    Nicolas Ngoy-Tha

    Human Relations Manager - Novutech

  • Simon Masquelier working at Business & Decision Belgium
    quote
    We are extremely pleased with Le Wagon alumni we recently hired as Data Consultants. The variety and technicality of the courses they followed allow them today to be versatile and to develop rapidly within our company.
    Business & Decision Belgium

    Simon Masquelier

    DataOps Engineer / Data Academy Lead - Business & Decision Belgium

  • Simon Baldeyrou working at Getaround Europe
    quote
    We've hired more than 20 Le Wagon graduates in various engineering, product and data roles. We really value their strong tech foundations and ability to learn fast.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Elisa Lorenter working at Malt
    quote
    Le Wagon’s training allows to bring the tech and the business part together, people from Le Wagon are open-minded and flexible, it is precisely what we need in a hyper-growing environment as a scale-up company!
    Malt

    Elisa Lorenter

    Head of Talent Acquisition - Malt

  • Lucile Ritchie working at Foxintelligence
    quote
    We have recruited 4 Le Wagon Alumni this year in our team, who have fitted very quickly into Foxintelligence culture. They have proved to be adaptable, quick learners, and great team collaborators.
    Foxintelligence

    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

  • Nicolas Ngoy-Tha working at Novutech
    quote
    Our first hire, a graduate of Le Wagon Brussels, was a remarkable success and continues to play a key role in our team. Since then, we have hired additional Le Wagon graduates, which has only solidified our faith in the excellence of the Le Wagon program.
    Novutech

    Nicolas Ngoy-Tha

    Human Relations Manager - Novutech

  • Simon Masquelier working at Business & Decision Belgium
    quote
    We are extremely pleased with Le Wagon alumni we recently hired as Data Consultants. The variety and technicality of the courses they followed allow them today to be versatile and to develop rapidly within our company.
    Business & Decision Belgium

    Simon Masquelier

    DataOps Engineer / Data Academy Lead - Business & Decision Belgium

  • Simon Baldeyrou working at Getaround Europe
    quote
    We've hired more than 20 Le Wagon graduates in various engineering, product and data roles. We really value their strong tech foundations and ability to learn fast.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Elisa Lorenter working at Malt
    quote
    Le Wagon’s training allows to bring the tech and the business part together, people from Le Wagon are open-minded and flexible, it is precisely what we need in a hyper-growing environment as a scale-up company!
    Malt

    Elisa Lorenter

    Head of Talent Acquisition - Malt

  • Lucile Ritchie working at Foxintelligence
    quote
    We have recruited 4 Le Wagon Alumni this year in our team, who have fitted very quickly into Foxintelligence culture. They have proved to be adaptable, quick learners, and great team collaborators.
    Foxintelligence

    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

Want to learn more about our data science & AI bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Download our data science & AI syllabus

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job-ready portfolio

Build a solid portfolio to showcase your skills to tech recruiters

Work on various data science & AI projects, culminating in a live demo of your model to a real audience. Build a portfolio ready for job interviews.

Diversity in Hollywood: Gender & race measurement in the media

Mohamed Abuhalala Luis Costero Sanchez Emma Szonyi Gabriella Otero
Data science & AI students
December 2021

Count'a Manta: Applying AI to marine conservation efforts

Emilio Torres Kalindi Fonda Kamilla Radeczki
Data science & AI students
April 2023

The way of yoga: An AI yoga trainer

Ju-Hae Kim Michael Daniel Raghda Mahmoud
Data science & AI students
March 2022
Career services

Land your dream job
with the support of our career team

Benefit from personalized coaching, attend job fairs, get prepared for interviews and connect with recruiters.

Discover our career services

1000+

hiring partners

90%

*

employment rate

100+

countries with alumni presence

* Our reports are based on surveys sent 6 months after each training session. Our last report has been updated in November 2023 and is based on 2467 respondents who graduated in 2022 worldwide.

What career paths open up to you after this data science & AI bootcamp?

After the course, you will be able to apply for different roles and boost your career as a:

What’s the average data science & AI salary in Brussels?

Salaries in data science can vary depending on your seniority, location or the sector in which you work.
Learn more about the factors that can influence your earnings in our Brussels data science salary guide.


See what our Brussels data science & AI graduates do now

Here’s why people like you choose Le Wagon

Upcoming sessions

Join our next session
in Brussels or Online

Learn in person or online, full-time or part-time.
Choose the format that suits you.

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Financing

Do you need help with financing?

Get expert advice on financing possibilities, with the potential to secure up to 100% financing for your tuition. Explore your options now with a call.

Admission advisor at Le Wagon

We can help you get financed through different options

  • Installment plan & loans
  • Public funding & scholarships
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Admission

How to apply to our data science & AI bootcamp

Our data science & ai course is very complete and intense. But don’t worry, if you don’t have the suggested requirements we will help you get there!

1

Suggested requirements

To apply for the data science bootcamp, you should have a solid foundation in programming and mathematics.

But the most important thing is that you are motivated to embark on this new tech adventure.

2

Book an interview with our enrolment advisor

When you apply, we'll get back to you to schedule a 30-minute video interview. We'll talk about your professional project and your motivation.

3

Pass our technical quiz

You will receive a Programming & Mathematics Quiz to help you and the Admissions team better understand your current level.

4

Payment options & prepwork

The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of 40h of training.

Joana Fonseca Eva Picot Julie Dakouré Matteo Bianchi

Book a free call with our advisors

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Discuss your career

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Decide which course is the best for you

✔

Understanding your financing options

✔

Get introduced to our methodology

Only have one question?

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FAQ

Your questions answered

Once the bootcamps ends, you will benefit from our career services.

Our local team will help you prepare for tech interviews, meet the best local recruiters and connect with relevant alumni. You will also have access to a complete guide to kick-start your tech career after the course: boost your portfolio, prepare for technical interviews, leverage our 23,000+ alumni community, but also to lots of useful Slack channels to find jobs or freelance opportunities.

Our local team will introduce you to the right people depending on your goal and you will meet with inspiring alumni who will come back to share their post-bootcamp experiences, like how they found a job, started their own company or freelancing career.

These are some career services we will provide:

  • Networking events, job fairs, career workshops and office hours with alumni or tech recruiters
  • Coaching sessions with our Talent Manager or local alumni
  • Resources our Career Playbook
  • Introductions to our network of hiring partners through our Hiring Newsletter
  • Career week with practical workshops (from building a portfolio to inspiring talks)

Some cities offer specific financing options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). You will find more details about these options here. Also feel free to reach out to the local admission manager to have more details about their local financing options.

At the end of the bootcamp, you'll be ready to take on roles in Data Science and AI projects. You'll know how to turn data into actionable insights and manage machine & deep learning models from start to finish using the best tools available.

Your next steps could be:

You need to be 18 to enroll for the course. However, you can apply if you are 17 as long as you turn 18 before the start of the bootcamp.

Data scientists are experts adept at extracting valuable insights from large datasets to aid organizations in solving complex problems, including those encountered in AI projects. They collaborate closely with business stakeholders to pinpoint opportunities for growth and areas needing improvement.
Their role involves selecting and refining the appropriate datasets, and utilizing machine learning, statistical modeling, and artificial intelligence to analyze them and identify patterns and trends. In AI projects, they develop intelligent algorithms and predictive models, enhancing the business with data-driven strategies and automated solutions.
Data scientists convey their findings clearly to other team members, offering data-backed recommendations to guide organizational strategies and decisions.

Web development course
You don't need any technical background to join our web development bootcamp. We expect 3 things from our students: be (extremely) motivated, be curious, be social. If this sounds like you, then we'll be more than happy to have you on board if you pass all the selection process.

Data science & AI course
The Data science & AI course requires some basic knowledge of programming and mathematics.

  • How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!
  • How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.

Data analytics course
The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new tech journey.

The job title "Data Scientist" can correspond to very different roles depending on the company (startup, scale-up, big company), the product you're working on and the team you will join. After Le Wagon's Data Science bootcamp, you will be able to apply to data analyst jobs. For data scientist or data engineer jobs, it will depend on the company and their criteria. For instance, some big tech companies (e.g. Airbnb or Facebook) will only accept data scientists profiles with a PhD in Mathematics, so you will not be able to apply to these positions unless you come to our Data Science bootcamp with a strong background in Mathematics already. In lots of smaller companies (like early-stage startups or data agencies) they will accept candidates with solid foundations in data science but less academic background in Mathematics, so they will be very interested in your profile after the course.


The main difference between an academic degree and a bootcamp is that we don't start from scratch and we learn with a lot of practice using modern tools and methods. In an academic curriculum in CS or DS, you will start learning all the theoretical knowledge (e.g. hardware layer of your computer for a CS degree, or advanced concepts of linear algebra and statistics for a DS degree) before moving to applied topics like web development or machine learning. This is only useful if you want to be able to navigate between these layers. However nowadays, you can build almost anything while only mastering the last part. That's why we designed our bootcamps this way. Of course you won't work at Tesla as a software engineer or at Google as a Deep Learning expert (unless you already have a scientific background when joining our bootcamp) but you will be able to work on your own tech products, web applications and data science projects or find a job as a junior developer, data scientist, data analyst or product manager with enough skills and knowledge to get started in your new company and bring value. Of course, that will be your role to keep learning in your new job and become more expert in specific topics.

In most cities, the bootcamp is taught in English.

In French cities, the program is in French. You will have a 1h30 lecture in the morning in French, and a 1h30 live-code in the evening in French as well. So, if you don't understand French correctly, you won't be able to attend the bootcamp in France.

In some other cities (São Paulo, Shanghai, Chengdu, Tokyo) specific sessions are organised in other languages (Brazilian Portuguese, Chinese, Japanese). You can check the language of the next batch on the "Apply" page.

Extra info: all the challenges' instructions and written documentation are in English, so all students must have a good level and understanding or written English, even in cities where lectures are given in another language.

To apply, simply complete the application form on our website by selecting:

  • The course
  • The format (full-time or part-time)
  • The city you're interested in
  • An introduction of why you want to join us and information about your personal project (if you have one!)

This is a quick process which only takes a few minutes. We will then contact you to schedule an interview (either in-person or online) to understand your motivations in more detail and answer any questions you have about our bootcamps.