25 000

alumni

#1

tech bootcamp

4.98 / 5

6000+ students reviews

90%*

employment rate

* 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.
financing

Join for free with the Bildungsgutschein

Did you know that you can have your Web Development course 100% financed by the Bundesagentur für Arbeit or Jobcenter?

The Bildungsgutschein is a training voucher that covers your full course fee, plus potential extra costs like transportation tickets to get to campus.

Make sure to contact our advisors and check your eligibility.

Book a call with an advisor
Le Wagon Paris - students 3-Jul-05-2021-12-47-19-34-PM
Curriculum

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
OpenAI OpenAI
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 do 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 do 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

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
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 learn:

ChatGPT ChatGPT

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 tech!

Receive guidance to kickstart your professional journey. Get help from our teams and experts to enhance your job-seeking skills, such as resume building and interview preparation. Network with industry experts and potential employers, positioning yourself for a successful transition into the workforce.

What you will do in practice:

  • 1 week of career-building activities
  • 1:1 coaching sessions
  • Q&A with our Alumni
  • Technical interview preparation

Location

Online or On-campus?

Discover the unique benefits of both Online and On-Campus bootcamps, each designed to complement your lifestyle and learning style.

online-1

Online

Connect and learn in real-time, from anywhere in the world.

  • ✔️

    Learn from anywhere in the world, in your preferred time zone and language.

  • ✔️

    Access live online support from our teachers

  • ✔️

    Partake in interactive peer-to-peer learning with your online classmates

  • ✔️

    Learn how to collaborate remotely on projects

  • ✔️

    Become part of an international community of over 21,000 global alumni

on-campus

On-campus

Immerse yourself in the energy of a dynamic classroom setting.

  • ✔️

    Experience hands-on learning in a dynamic classroom setting

  • ✔️

    Engage with teachers and peers face-to-face

  • ✔️

    Build connections and network with local students and professionals

  • ✔️

    Get hands-on experience with in-person team projects

  • ✔️

    Connect with the local alumni network for regional insights and opportunities

Choose the learning schedule that suits you

If you're busy and need a flexible schedule or if you want to graduate quicker with an intensive course, you can choose between our full-time and part-time formats:

  • ✔️

    Full-time: 2 months (40 hours per week)

  • ✔️

    Part-time: 7 months (16 hours per week)

Upcoming sessions

Join our next session for Data Science & AI Bootcamps in Germany or Online

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

See more sessions
Admission

How to apply to our data science & AI bootcamp

Our admission process is beginner-friendly and will give you a taste of our course. Start now!

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 background and your motivation.

3

Pass our technical quiz

You will take a technical quiz to assess your coding knowledge and your ability to learn.

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.

Apply now

Would you like more details about our Data Science & AI course?

✔

Understand the goal of the course

✔

Get our syllabus week by week

✔

Understand our methodology

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Download our Data Science & AI course syllabus

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