Lectures
Tune in to engaging lectures, illustrating key concepts with lots of practical examples, before putting what you’ve learnt into practice.
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Course info
Master the fundamental skills of a Data Scientist
in just a few weeks
Data Analytics Toolkits
Master the fundamental tools of programmatic data-analysts: Python as a backbone, SQL for queries and Jupyter Notebooks for visualization.
Python
SQL
Jupyter
Matplotlib
Decision Science
Leverage statistics to build advanced analyses and take well-informed business decisions: statistical inferences, hypothesis testing, multivariate regression and confidence intervals.
Pandas
Numpy
Statsmodels
Machine Learning & Deep Learning
Master Machine Learning and Deep Learning workflows (data preparation, model selection, evaluation, and fine-tuning) and understand mathematical concepts and numerical implementations behind models.
Scikit-Learn
Tensorflow
Google Compute
ML Engineering & Team Projects
Package your models into replicable Python code that can be trained on big data in the cloud, using virtual machines and online databases. Monitor & retrain models when needed, and expose them to the world through APIs.
Git
Docker
MLflow
FastAPI
You can start for FREE! Join a live workshop for web development, data analytics, or UX design.
What you will learn in practice
You will learn Data Science through 6 modules, either full-time for 2 months or part-time for 6 months.
Prepwork: get ready to start the bootcamp!
40h
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 Python and maths before the bootcamp starts.
- Setup your learning environment (notes, text editor, ...)
- Terminal, Git and OS basic commands
- Python foundations
- Maths foundations (in a fun & intuitive way!)
What you will do in practice
- 40 hours of online tutorials
- Curated resources from Le Wagon to gain solid foundations
Data Analysis
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.
- Source data from files, web-scraping, or APIs
- Manipulate data with Python, Pandas & Numpy
- Query / store data with SQL & Google Big Query
- Visualization with Jupyter Notebook, Matplotlib, Seaborn & Plotly
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
Decision Science
40h
Put yourself in the shoes of a data consultant, and 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.
- Statsmodels for multivariate linear/logistic regressions
- Packaging and object-oriented programming in Python
- Notebook-based presentations with interactive graphs
What you will build in practice
- 40h-long data consulting challenge based on real data from a marketplace
- Individual presentations of your key findings to your client
Machine Learning
80h
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.
- Scikit-learn and XGBoost libraries
- Supervised learning (linear, KNN, SVM, Trees, Ensembles)
- Unsupervised learning (PCA, K-means, t-SNE, DBSCAN)
- Structured data (tabular, time-series with SARIMAX...)
- Unstructured data (images, text with Naive-Bayes, Tf-idf, LDA...)
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
Deep Learning
40h
Unveil the magic behind Deep Learning! Understand the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimisers). Build your own neural networks (dense, recurrent, or convolutional), to work on images, sequences and texts. Learn how to re-use and transfer learning from pre-trained “big-models” from latest open-source research! Get your hands dirty with auto-encoders, batch data processing pipelines, and GPU training.
- TensorFlow
- Keras
- Google Colab
What you will build in practice
- Dense neural network for fraud transaction detection
- Transfer learning for image classification
- Auto-encoders for image compression and denoising
- Recurrent networks for weather forecasting
- World embedding for sentiment analysis or text auto-completion
Machine Learning Engineering (MLOps)
40h
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.
- VS code & command line
- Google Cloud, Virtual Machines, SSH for the trainer
- MLflow & Prefect for DAG orchestration
- Docker & Fast API for the backend
- Streamlit for the frontend
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
Project weeks
80h
Projects Phase is the ultimate experience of the course. Collaborate efficiently in teams of 3-4 people on a real data science project that you will either join or pitch to your class. 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!
Career Week: start your career in data science!
Meet data science experts working in startups or large companies, prepare your CV and do mock interviews to prepare your job search. Go deeper into essential data topics.
- Preparation for your job search
- Connection to our 19,000 alumni and 985+ hiring partners
What you will do in practice
- 1:1 coaching
- Review of your CV and cover letter
- Preparation for technical interviews
Schedule
Accelerate your transition into tech
through our immersive program
Challenges
Pair up with your buddy to work on a series of programming challenges with the help of our teaching staff.
Live Code
Join an interactive coding session with one of our experienced teachers & solve problems together with your class.
Teacher support
Ask your questions via our online helpdesk and receive answers and teaching support from one of our expert teaching assistants.
Choose the learning schedule that suits you
-
Full-time
2 monthsReady to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.
Live sessions
Every weekday morning & late afternoon
Challenges
Every weekday afternoon
Live teacher support
Monday to Friday, 9am to 6pm
Graduate in 2 months
All day peer-to-peer learning
40 hours of study in total, per week
-
Part-time
6 monthsHave commitments? Learn in your free time when it’s most convenient for you.
Live sessions
Twice a week in the evening and/or Saturday
Challenges
Anytime
Live teacher support
Weekdays and Saturday
Graduate in 6 months
Learn collaboratively with peers online
16 hours of study in total, per week
Full-time
2 monthsReady to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.
Live sessions
Every weekday morning & late afternoon
Challenges
Every weekday afternoon
Live teacher support
Monday to Friday, 9am to 6pm
Graduate in 2 months
All day peer-to-peer learning
40 hours of study in total, per week
Part-time
6 monthsHave commitments? Learn in your free time when it’s most convenient for you.
Live sessions
Twice a week in the evening and/or Saturday
Challenges
Anytime
Live teacher support
Weekdays and Saturday
Graduate in 6 months
Learn collaboratively with peers online
16 hours of study in total, per week
Train with an EduQua certified school in Switzerland
eduQua is the first Swiss quality label geared towards providers of adult learning programmers. The label promotes transparency and comparability of adult learning for the benefit of consumers and contributes to safeguarding the quality of adult education programmers in Switzerland. More than 1,000 schools, institutes and academies in the whole of Switzerland are eduQua certified.
Need more details about our Data Science bootcamp?
Understand the goal of the bootcamp
Get our syllabus week by week
Understand our methodology
Download our Data Science syllabus
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Passionate teachers, acclaimed methods & real-world skills
- Small cohorts with 1 teacher for 7 students
- Practice on real data from the best European tech companies
- Get real-time answers to never be stuck
- Keep lifetime access to Le Wagon's learning platform
- Design and pitch your final project in teams
-
"Le Wagon changed my life. I went from designing ads to building an app that eventually got Google’s attention. Now me and my co-founders (who I also met at Le Wagon) all work at Google living our best lives."
Allan Holmes
Now Interaction Designer at Google
-
"The bootcamp allowed me to acquire a solid foundation in Data Science, to practice on real world problems, to join a lively and close-knit international community and to land the job of my dreams as a Data Analyst! I 100% recommend Le Wagon!"
Capucine Dehaut
Now Data Scientist at Getaround
-
"If you are looking for a bootcamp that offers a comprehensive curriculum, a great learning environment and incredible post-bootcamp career support then Le Wagon is for you!"
Joseph Gulay
Now Data Analyst at Ernst & Young
-
"It is stunning how much you learn in only 9 weeks, not only web development but also how to challenge yourself and grow as a person!"
Carolina Cota
Now Backend Developer at N26
-
"I loved my experience at Le Wagon, especially the last 2 weeks of teamwork: Developing an idea, visualising it in mock-ups, breaking it down into development tasks, and pitching the final product. This is the essence of product culture!"
Adrien Moison
Now Head of Product at Back Market
-
"Only two months after finishing the Bootcamp, I landed my first job as a Junior Software Engineer. That would not have been possible without the amazing career support from Le Wagon’s staff."
Mathieu Longé
Now Software Engineer at 99designs
-
"The bootcamp gave me the opportunity to learn about the full process of building a product and to confirm I particularly love the design and frontend side of things."
Caroline Bixner
Now Senior Service Designer at Deloitte Digital
-
"I expected a lot from Le Wagon for my Data Science formation and the global experience was even better: the content of the formation and the custom learning platform were really well structured and all the people at Le Wagon very helpful."
Josselin Grouas
Now Data/IA Manager Consultant at IBM
-
"I warmly recommend Le Wagon to anyone who wants to sky rocket their career in our increasingly digital world. Le Wagon is more than just a coding school it’s a proper experience and a human melting pot."
Christophe Arendt
Now Data Engineer at Capgemini
-
"I am grateful for the valuable knowledge and experience that this program provided me with. I would encourage anyone who wants to change to a career in tech to join this excellent program."
Asma Laaribi
Now Developer at Shopify
-
"Le Wagon has a huge emphasis on culture and community. The energy is incredibly positive & the Teachers/Teacher Assistants are always happy to help and answer questions."
Thomas Temple
Now Software Engineer at Hall & Wilcox
-
"Le Wagon is a great way to get into tech and learn a new skill with good teachers to support your journey and definitely don’t be shy to ask 100 questions like I did."
Ștefania-Ella Centea
Now Junior Product Manager at ASDA
-
"After 3 years working in Investment Banking, I decided to update my skill-set with some tools that I could use for whatever my next professional challenge would be."
Ayelen Klas
Now Sr. Growth & Operations Manager at Razor Group
-
"Le Wagon truly changed my life with coding. Coming from a sales background, it enabled me to acquire the technical knowledges to start a developer career."
Isabelle Ferrier
Now Web Developer at amlconsult GmbH
-
"Le Wagon changed my life. I went from designing ads to building an app that eventually got Google’s attention. Now me and my co-founders (who I also met at Le Wagon) all work at Google living our best lives."
Allan Holmes
Now Interaction Designer at Google
-
"The bootcamp allowed me to acquire a solid foundation in Data Science, to practice on real world problems, to join a lively and close-knit international community and to land the job of my dreams as a Data Analyst! I 100% recommend Le Wagon!"
Capucine Dehaut
Now Data Scientist at Getaround
-
"If you are looking for a bootcamp that offers a comprehensive curriculum, a great learning environment and incredible post-bootcamp career support then Le Wagon is for you!"
Joseph Gulay
Now Data Analyst at Ernst & Young
-
"It is stunning how much you learn in only 9 weeks, not only web development but also how to challenge yourself and grow as a person!"
Carolina Cota
Now Backend Developer at N26
-
"I loved my experience at Le Wagon, especially the last 2 weeks of teamwork: Developing an idea, visualising it in mock-ups, breaking it down into development tasks, and pitching the final product. This is the essence of product culture!"
Adrien Moison
Now Head of Product at Back Market
-
"Only two months after finishing the Bootcamp, I landed my first job as a Junior Software Engineer. That would not have been possible without the amazing career support from Le Wagon’s staff."
Mathieu Longé
Now Software Engineer at 99designs
-
"The bootcamp gave me the opportunity to learn about the full process of building a product and to confirm I particularly love the design and frontend side of things."
Caroline Bixner
Now Senior Service Designer at Deloitte Digital
-
"I expected a lot from Le Wagon for my Data Science formation and the global experience was even better: the content of the formation and the custom learning platform were really well structured and all the people at Le Wagon very helpful."
Josselin Grouas
Now Data/IA Manager Consultant at IBM
-
"I warmly recommend Le Wagon to anyone who wants to sky rocket their career in our increasingly digital world. Le Wagon is more than just a coding school it’s a proper experience and a human melting pot."
Christophe Arendt
Now Data Engineer at Capgemini
-
"I am grateful for the valuable knowledge and experience that this program provided me with. I would encourage anyone who wants to change to a career in tech to join this excellent program."
Asma Laaribi
Now Developer at Shopify
-
"Le Wagon has a huge emphasis on culture and community. The energy is incredibly positive & the Teachers/Teacher Assistants are always happy to help and answer questions."
Thomas Temple
Now Software Engineer at Hall & Wilcox
-
"Le Wagon is a great way to get into tech and learn a new skill with good teachers to support your journey and definitely don’t be shy to ask 100 questions like I did."
Ștefania-Ella Centea
Now Junior Product Manager at ASDA
-
"After 3 years working in Investment Banking, I decided to update my skill-set with some tools that I could use for whatever my next professional challenge would be."
Ayelen Klas
Now Sr. Growth & Operations Manager at Razor Group
-
"Le Wagon truly changed my life with coding. Coming from a sales background, it enabled me to acquire the technical knowledges to start a developer career."
Isabelle Ferrier
Now Web Developer at amlconsult GmbH
Top rated bootcamp in the world!
*average rates on main rating websites
Career services
Land your dream job with our career team
Benefit from personalized coaching, attend job fairs, get prepared for interviews, connect with recruiters.
985+
hiring partners
93%
of graduates find jobs
3 months
on average to find a job
See what our Data Science
graduates do now
-
Thomas Lafaille
Co-Founder
High Stakes Switzerland
-
James Hart
Data Analyst
Neo Instinct
-
Camille Ernoult
Management Consulting - Digital Transformation
KPMG
-
Charlotte de Belay
Data Analyst
Nestlé
-
Hadrien Morand
Teaching Assistant
Ecole Hôtelière de Lausanne
They recruit Le Wagon alumni
-
As a fast paced Scale-up based in EPFL innovation park, we often look for new talents and love hiring Alumni from Le Wagon. We like their mindset and adaptability.
Scrum Master - Tayo
Nathan Tempels
-
We had a great experience with students that, after the Bootcamp, started working with us, because they worked on real projects and have the right attitude to continue learning on the Job and grow in this field.
Partner at Renuo - Renuo
Alessandro Rodi
-
Le Wagon`s bootcamp has technically trained and prepared several students who joined the internship program for women in IT at SIX. This is a great opportunity that one should seize to strengthen the team with women who are highly motivated to work in IT; they are adding valuable points of view from other areas and improving the team structure.
Head of IT - Six
Jürgen Enderle
-
At Veepee we always try to have a local Tech team. And since our stack is based on Ruby on Rails, we contacted Le Wagon in Lausanne to hire some team members. We are super proud to say we have an Alumni working as a Fullstack Dev with us for 4 years now.
CTO - Veepee.ch
Cyril Suzat
-
- Gold Avenue
Vincent Mattart
-
As a fast paced Scale-up based in EPFL innovation park, we often look for new talents and love hiring Alumni from Le Wagon. We like their mindset and adaptability.
Scrum Master - Tayo
Nathan Tempels
-
We had a great experience with students that, after the Bootcamp, started working with us, because they worked on real projects and have the right attitude to continue learning on the Job and grow in this field.
Partner at Renuo - Renuo
Alessandro Rodi
-
Le Wagon`s bootcamp has technically trained and prepared several students who joined the internship program for women in IT at SIX. This is a great opportunity that one should seize to strengthen the team with women who are highly motivated to work in IT; they are adding valuable points of view from other areas and improving the team structure.
Head of IT - Six
Jürgen Enderle
-
At Veepee we always try to have a local Tech team. And since our stack is based on Ruby on Rails, we contacted Le Wagon in Lausanne to hire some team members. We are super proud to say we have an Alumni working as a Fullstack Dev with us for 4 years now.
CTO - Veepee.ch
Cyril Suzat
-
- Gold Avenue
Vincent Mattart
Financing
Do you need help with financing?
Understand your eligibility and learn how to finance your bootcamp.
- Installment plan - Spread out your tuition payments.
- Public funding - Get your bootcamp financed by government funding and subsidies.
- Scholarships - Benefit from social impact programs and discounts for underrepresented communities.
Admission
How to apply to our Data Science bootcamp
Our Data Science 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
Programming: you'll need to be comfortable with data types & variables, conditions, loops, functions and data structures.
Mathematics: you'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.
Mathematics: you'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.
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 a 40h training.
Discuss your career
Decide which course is the best for you
Understanding your financing options
Get introduced to our methodology
Only have one question?
Events
Start your tech journey by attending a free workshop in Lausanne
In addition to our courses, we host free evening workshops and entrepreneurial talks at our Lausanne campus. Come down and meet us!
Web Development course in Lausanne
Data Science course in LausanneData Analytics course in Lausanne
Le Wagon Lausanne
Rue de Lausanne 64, 1020 Renens
You can start for FREE! Join a live workshop for web development, data analytics, or UX design.
Rue de Lausanne 64, 1020 Renens
Web Development course in Lausanne
Data Science course in LausanneData Analytics course in Lausanne
Le Wagon Lausanne
Rue de Lausanne 64, 1020 Renens
Why you should study Data Science in Lausanne
It is not a secret that is very tough to get access to the Swiss Job Market. But when you manage to enter it, it is very rewarding in terms of quality of life and salary. By studying in Lausanne, benefit from our connections with local hiring companies and start networking right from the beginning of the bootcamp with recruiters, alumni, teachers, event speakers and participants, etc.
Switzerland is home of many big Universities renowned for the quality of their Data curriculum (EPFL, ETH). Some of the other big names in the region when it comes to Data are: the Swiss Data Science Center, the Blue Brain Project. Banks and insurances, which is a big employer sector in Switzerland, are also big consumers of Data Scientists.
Le Wagon Lausanne is located in a vibrant ecosystem, hosting MassChallenge (the biggest startup incubator in Switzerland), 42 school, many startups and the "Nebuleuse" brewery.
F.A.Q.
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 on our 10,000 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 funding options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). Again, you will find more details about these options on the page of each city on Le Wagon’s website. Also feel free to reach out to the local admission manager to have more details about their local funding options.
At the end of the 9 weeks (full-time) or 24 weeks (part-time), you will have all the skills you need to launch your career in a Data Science team. You will finish the course knowing how to explore, clean and transform data into actionable insights and how to implement machine learning models from start to finish in a production environment, working in teams with the best-in-class tool belt.
You will then have different options:
- Find a job and join a team as data scientist, data analyst or data engineer
- Work as a freelancer on data science projects
- Launch a data science project as an entrepreneur
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 who extract insights from large data sets to help organizations solve complex problems. They work closely with business stakeholders to identify pain points, opportunities for growth, and areas for improvement.
Their job involves identifying the right data sets, collecting and cleaning them, and analyzing them to identify patterns and trends. They use machine learning, statistical modeling, and artificial intelligence to extract the data the business needs, and help analyze the data and share insights with peers.
Data scientists present their findings and make recommendations to other members of the organization, and create algorithms and predictive models to extract insights from data.
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 course
The Data Science 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.
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 (Web Development, Data Science)
- The format (9-week full-time, 24-week 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.
More than a bootcamp.
Join a global tech network for life.
By choosing Le Wagon, you are joining a supportive community of alumni, teachers, tech recruiters. Benefit from life-long access to the course material, and to our network job offers.
21,000
alumni
45
campuses
1,500
tech experts and professors
93k
meetup members