Bootcamp

Data science & AI
course in Shanghai

Chart a new career path as a data scientist with the #1 ranked bootcamp in Shanghai or online.

⭐️

4.98/5 - 5,200+ student reviews

Shanghai
Shanghai
Shanghai
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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.

  • PandasPandas
  • NumpyNumpy
  • StatsmodelsStatsmodels
✔

Machine Learning & Deep Learning

Master Machine Learning and Deep Learning workflows. Delve into the mathematical concepts and numerical implementations behind models, with a special focus on understanding and utilizing transformers, a cornerstone in modern AI.

  • Scikit-LearnScikit-Learn
  • TensorflowTensorflow
  • Google ComputeGoogle Compute
  • Hugging FaceHugging Face
✔

ML Engineering & Team Projects

Package your models into replicable Python code for training on big data in the cloud. The project phase combines team-based development of an original project with AI classes on generative coding, ethical AI, explainable AI, and CI/CD best practices.

  • GitGit
  • DockerDocker
  • MLflowMLflow
  • FastAPIFastAPI
  • FastAPIChatGPT

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 & AI 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.

  1. Statsmodels for multivariate linear/logistic regressions
  2. Packaging and object-oriented programming in Python
  3. Notebook-based presentations with interactive graphs

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

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

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.

  • TensorFlow
  • Keras
  • Google Colab

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

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

Generative AI

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.

  • ChatGPT
  • Copilot
  • LangChain

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

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 20,000+ 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

Lectures

Lectures

Tune in to engaging lectures, illustrating key concepts with lots of practical examples, before putting what you’ve learnt into practice.

Challenges

Challenges

Pair up with your buddy to work on a series of programming challenges with the help of our teaching staff.

Live Code

Live Code

Join an interactive coding session with one of our experienced teachers & solve problems together with your class.

Teacher support

Teacher support

Ask your questions via our online helpdesk and receive answers and teaching support from one of our expert teaching assistants.

  • Lectures
    Lectures

    Tune in to engaging lectures, illustrating key concepts with lots of practical examples, before putting what you’ve learnt into practice.

  • Challenges
    Challenges

    Pair up with your buddy to work on a series of programming challenges with the help of our teaching staff.

  • Live Code
    Live Code

    Join an interactive coding session with one of our experienced teachers & solve problems together with your class.

  • Teacher support
    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 months

Ready 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 months

Have 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

Need more details about our data science & AI bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Coursereport

Course Report

4.98 / 5 - 2,927 reviews
Switchup

Switchup

4.98 / 5 - 2,698 reviews
Careerkarma_white

Career Karma

4.9 / 5 - 1,279 reviews

Download our Data science & AI 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
  • "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 Getaround

    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 Ernst & Young

    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 N26

    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 Back Market

    Adrien Moison

    Now Head of Product at Back Market

  • "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 Google

    Allan Holmes

    Now Interaction Designer at Google

  • "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 Deloitte Digital

    Caroline Bixner

    Now Senior Service Designer at Deloitte Digital

  • "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 99designs

    Mathieu Longé

    Now Software Engineer at 99designs

  • "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 IBM

    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 Capgemini

    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 Shopify

    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 Hall & Wilcox

    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 ASDA

    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 Razor Group

    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 amlconsult GmbH

    Isabelle Ferrier

    Now Web Developer at amlconsult GmbH

  • "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 Getaround

    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 Ernst & Young

    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 N26

    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 Back Market

    Adrien Moison

    Now Head of Product at Back Market

  • "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 Google

    Allan Holmes

    Now Interaction Designer at Google

  • "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 Deloitte Digital

    Caroline Bixner

    Now Senior Service Designer at Deloitte Digital

  • "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 99designs

    Mathieu Longé

    Now Software Engineer at 99designs

  • "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 IBM

    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 Capgemini

    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 Shopify

    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 Hall & Wilcox

    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 ASDA

    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 Razor Group

    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 amlconsult GmbH

    Isabelle Ferrier

    Now Web Developer at amlconsult GmbH

Top rated bootcamp in the world!

*average rates on main rating websites

Coursereport

Course Report

4.98 / 5 - 2,927 reviews
Switchup

Switchup

4.98 / 5 - 2,698 reviews
Careerkarma

Career Karma

4.9 / 5 - 1,279 reviews

Career services

Land your dream job with our career team

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

Career services video Play

985+

hiring partners

93%

of graduates find jobs

3 months

on average to find a job

Discover our career services

See what our data science & AI graduates do now

  • Rachel Liu

    Rachel Liu

    Data Analyst

    CertiK

They recruit Le Wagon alumni

  • Move Shanghai
    quote
    Le Wagon managed to get a bunch of people that are super smart, super diverse, with ability to learn very fast. At the end of the day, engineering is about being able to learn super fast on the job.
    line
    Tom Xiong

    Founder - Move Shanghai

    Tom Xiong

  • IT Consultis
    quote
    During the project, Chris impressed me thanks to his understanding of the technical requirements and his excellent organizational skills. He has great potential and a bright future ahead of him!
    line
    Michelle  SONG

    Project Lead - IT Consultis

    Michelle SONG

  • 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.
    line
    Simon Baldeyrou

    CEO - Getaround Europe

    Simon Baldeyrou

  • 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!
    line
    Elisa Lorenter

    Head of Talent Acquisition - Malt

    Elisa Lorenter

  • 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.
    line
    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

    Lucile Ritchie

  • Move Shanghai
    quote
    Le Wagon managed to get a bunch of people that are super smart, super diverse, with ability to learn very fast. At the end of the day, engineering is about being able to learn super fast on the job.
    line
    Tom Xiong

    Founder - Move Shanghai

    Tom Xiong

  • IT Consultis
    quote
    During the project, Chris impressed me thanks to his understanding of the technical requirements and his excellent organizational skills. He has great potential and a bright future ahead of him!
    line
    Michelle  SONG

    Project Lead - IT Consultis

    Michelle SONG

  • 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.
    line
    Simon Baldeyrou

    CEO - Getaround Europe

    Simon Baldeyrou

  • 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!
    line
    Elisa Lorenter

    Head of Talent Acquisition - Malt

    Elisa Lorenter

  • 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.
    line
    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

    Lucile Ritchie

Financing

Do you need help with financing?

Understand your eligibility and learn how to finance your bootcamp.

Financing

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 & AI 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.

Francesco Ecclesie Harriet Bullough Olivia Bichara Charlotte Margus
Book a free call with our advisors
✔

Discuss your career

✔

Decide which course is the best for you

✔

Understanding your financing options

✔

Get introduced to our methodology

Only have one question?

Join our free online workshops

See all our free webinars

Why you should study data science & AI in Shanghai

We teach data engineering, how to work in a team to solve real-world problems, how to build a data pipeline, and business skills like presentation and storytelling. All hard-skills and soft-skills to prepare you for the start of your tech journey!

Once you graduate, you belong to a global tech community and have access to our online platform to keep learning and growing. You also get the chance to network with more than 15,000 alumni in our community and continue improving your skills after the bootcamp!

Our Career Week at the end of the bootcamp will equip you with all the tips, tools and connections to give you the best chance at landing the role you desire. Learn how to build your CV, GitHub profile, and cover letter specifically curated to enter the tech industry.

Designed by leading educators, engineers and researchers, our curriculum brings together the expertise of cutting-edge companies and the experience of running hundreds of immersive coding bootcamps.

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'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:
  • Joining a team as a data scientist, data analyst, or data engineer.
  • Freelancing on data science and AI projects.
  • Launching a startup with a focus on data science and AI.

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 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.

22,000

alumni

45

campuses

1,500

tech experts and professors

93k

meetup members

Need more details about our data science & AI bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Coursereport

Course Report

4.98 / 5 - 2,927 reviews
Switchup

Switchup

4.98 / 5 - 2,698 reviews
Careerkarma_white

Career Karma

4.9 / 5 - 1,279 reviews

Download our Data science & AI syllabus

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