Does Le Wagon accept deferred tuition, student loans, Income Share Agreements (ISA) or other financing plans?

Yes, certain cities offer financing options through local partners, including deferred tuition plans, student loans, and Income Share Agreements (ISA). For detailed information, visit the Le Wagon website or reach out to a local admission manager.

What does a Data Scientist do?

A Data Scientist extracts meaningful insights from complex, often unseen data, enabling organizations to solve advanced problems and make forward-looking, data-driven decisions. They leverage machine learning, predictive modeling, deep learning, and large language models (LLMs) to analyze vast datasets, identifying patterns and trends that support AI-driven initiatives. Unlike Data Analysts, Data Scientists focus on building predictive models that can process new and unseen data, essential for applications in automation and intelligent decision-making. They collaborate closely with stakeholders to uncover business opportunities, providing data-backed recommendations that shape strategic decisions and drive innovation.

What will I be able to do at the end of the Data Science & AI bootcamp?

By the end of the Data Science & AI Bootcamp, you’ll be equipped to work in technical roles within tech, data science, or engineering teams, transforming raw data into actionable insights and building, deploying, and optimizing machine learning and deep learning models from start to finish. You’ll gain hands-on experience with industry-leading tools, preparing you to: Join a team as a data scientist, data analyst, or data engineer. Freelance on data science and AI projects.Launch a startup focused on data science and AI solutions.This practical expertise will empower you to drive AI-driven strategies, tackle complex data challenges, and innovate within the rapidly evolving field of data science and AI.

I'm under 18 years old, can I apply?

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.

I don't have any technical background, can I join the course?

Here’s what you need to know about technical prerequisites for each bootcamp: Web Development: No technical background is required. We look for motivated, curious, and social students. If this describes you, you’re ready to apply and complete the selection process. Data Science & AI: Requires basic programming and math knowledge: Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript. Mathematics: Comfort with high school-level functions, derivatives, and linear equations. We provide pre-bootcamp resources to help you brush up on linear algebra and statistics. Data Analytics: Beginner-friendly, with no prerequisites beyond motivation to start your tech journey. Data Engineering: Beneficial to have foundational skills in programming, databases, and data infrastructure. Successful data engineers often blend these technical skills with strong soft skills to solve complex data challenges. This bootcamp provides hands-on training to help you build or deepen these skills, whether you’re starting fresh or seeking advanced expertise.Growth Marketing: This bootcamp requires only a basic understanding of Excel or Google Sheets and some initial work experience, such as internships.

Are online bootcamps eligible for Government funding schemes?

Yes, Le Wagon’s online bootcamps are eligible to be fully or partially funded, depending on your country of residence and if you meet the criteria for funding support. To find out what options are available, simply select your country on our Bootcamp Financing Options page. If you have multiple funding options, our admissions team will assist you in choosing the best one during your admissions interview. If you have any questions or need more information about local funding options, feel free to reach out to our admissions team at online@lewagon.org.

What is the main difference between Le Wagon and an academic degree in Computer Science or Data Science?

The main difference between Le Wagon’s bootcamps and an academic degree in Computer Science or Data Science is the emphasis on hands-on skills over foundational theory. Academic degrees start with deep theoretical concepts, which are essential for advanced roles but less directly applicable to most practical tech projects.Le Wagon’s bootcamps focus on applied skills with modern tools, enabling you to build web applications, data projects, and more from the start. While not designed for specialized roles at companies like Tesla or Google without prior experience, the bootcamp prepares you for junior roles like developer, data scientist, or product manager, allowing you to contribute value immediately and continue learning on the job.

What language is the bootcamp taught in?

The bootcamp is primarily taught in English in most cities. In French cities, the program is conducted in French, with morning lectures and evening live-coding sessions in French, so fluency is necessary to attend in France. In some locations like São Paulo, Shanghai, Chengdu, and Tokyo, sessions are available in local languages (Brazilian Portuguese, Chinese, Japanese). You can verify the language of upcoming batches on the "Apply" page. Regardless of the teaching language, all challenge instructions and documentation are provided in English, so a minimum B2 level in written English is essential for all students.

How can I apply to a course?

To apply for a course, start by completing the application form on the Le Wagon website. You’ll need to specify details like your chosen course, preferred format (online or on-campus), city, and your motivation for joining. Once you submit the form, a member of the Le Wagon admissions team will reach out to schedule an interview to discuss your goals and fit for the program.

Does Le Wagon offer a Part-Time learning option?

Le Wagon offers a Part-Time learning option designed to fit around your work commitments, requiring around 16 hours study per week. This flexible program combines pre-recorded, on-demand lectures with live teaching sessions, allowing you to learn from home. Ideal for balancing work and life, the part-time bootcamp provides the same collaborative environment as the full-time course, with access to expert instructors, teaching assistants and a supportive student community.

Data Science & AI course in Melbourne, Australia

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

SQL

Jupyter

Pandas

Git

Docker

Scikit-Learn

Hugging Face

OpenAI

Matplotlib

Numpy

Tensorflow

Keras

Copilot

Gemini

LangChain

ML flow

FastAPI

ChatGPT

Google Compute

curriculum

What you’ll learn in Le Wagon’s Data Science & AI bootcamp

Our unique hands-on method teaches you advanced technologies and an innovative approach that will lead to success in any data-driven role — empowering you to work with even the most complex of datasets.

30h

Preparation work

Once you’ve been accepted, you'll receive about 30 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:

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

Software and languages you will learn:

Python

Git

SQL

40h

Understand the fundamentals of Data Science

It’s highly recommended that you join our online pre-bootcamp Python & SQL introduction. During this time, collaboratively engage with your instructors in a live online setting to understand the fundamentals. A significant portion of the material covered this week will not be covered at this level of detail during the bootcamp, as the expectation is that participants are already familiar with this material. Familiarize yourself with technical terminology, key concepts and the right learning mindset before your first day of the bootcamp.

What you will learn:

Understand the fundamentals of Python.
Learn core programming concepts like functions, loops, and conditional statements.
Learn the basics of SQL.
Practice with real coding challenges to build your confidence.

Software and languages you will learn:

Python

SQL

56h

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 ecommerce data in SQL
Visual dashboard connected to stock-market APIs

Software and languages you will learn:

Python

SQL

Jupyter

Pandas

Numpy

Matplotlib

Seaborn

BigQuery

32h

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:

1 week long data consulting challenge based on real data from a marketplace
Interactive dashboard to communicate your findings effectively
Individual presentations of your key findings directly to your client

Software and languages you will learn:

Python

Statsmodel

Plotly

88h

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

XGBoost

LangChain

64h

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

Keras

Google Colab

Hugging Face

Gemini

ChatGPT

Copilot

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
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

Cloud storage

BigQuery

ML flow

Docker

FastAPI

Prefect

Streamlit

Explore additional learning

Alongside your final project, develop core Agile project management skills to structure and deliver technical work effectively. You'll also explore key topics like AI ethics, explainability, and deployment to ensure your solutions are production-ready.

You'll gain practical experience in:

Managing technical projects using Agile methodologies
Understanding the ethical challenges of working with AI
Discovering techniques for making complex models interpretable
Gaining hands-on knowledge of Continuous Integration and Deployment in machine learning

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.

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

Part-time

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

Graduate in 6 months
Flexible peer-to-peer learning
16 hours of study in total, per week

See all our sessions

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.

Practice on real-life projects using real data
Join a group of like-minded peers to support you
Get career coaching to land your dream job

4.96/5

2,927 student reviews

4.9/5

1,279 student reviews

4.98/5

2,698 student reviews

Meet our course creators and data science experts

The top tech recruiters choose Le Wagon graduates

Most of our developers and product managers come from Le Wagon! Le Wagon has become a key strategic partner helping Skello to hire great tech talent.

Quitterie Mathelin-Moreaux

CEO - Skello
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.

Simon Baldeyrou

CEO - Getaround Europe
We have recruited some amazing Le Wagon alumni in various tech roles: data, product, ops and engineering. It's a great bootcamp for preparing well-rounded top tech talent.

Jean-Charles Samuelian-Werve

Co-founder & CEO - Alan
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.

Nathan Tempels

Scrum Master - Tayo
At Doctolib we always strive for the best talents to make access to healthcare fast and equal for everyone. Through Le Wagon, we've found these great talents as they learn exactly the tech skills that help us in our mission.

Angela Diapari

Lead Product Recruiter - Doctolib
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!

Elisa Lorenter

Head of Talent Acquisition - Malt
Le Wagon Alumni bring experience in other areas that, together with their new learnings from the bootcamp and motivation, turn them into fundamental pieces of solid and diversified tech teams.

Ricardo Gaspar

Senior Manager - PwC
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.

Lucile Ritchie

Strategy & Operations Manager - Foxintelligence
Both Miguel and Manuel have been great with the challenge of building Landing.Jobs’ platform. We really enjoy both their motivation for constant improvement and their openness to work with our Experience Team.

Pedro Oliveira

COO - Landing.Jobs

Most of our developers and product managers come from Le Wagon! Le Wagon has become a key strategic partner helping Skello to hire great tech talent.

Quitterie Mathelin-Moreaux

CEO - Skello
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.

Simon Baldeyrou

CEO - Getaround Europe
We have recruited some amazing Le Wagon alumni in various tech roles: data, product, ops and engineering. It's a great bootcamp for preparing well-rounded top tech talent.

Jean-Charles Samuelian-Werve

Co-founder & CEO - Alan
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.

Nathan Tempels

Scrum Master - Tayo
At Doctolib we always strive for the best talents to make access to healthcare fast and equal for everyone. Through Le Wagon, we've found these great talents as they learn exactly the tech skills that help us in our mission.

Angela Diapari

Lead Product Recruiter - Doctolib
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!

Elisa Lorenter

Head of Talent Acquisition - Malt
Le Wagon Alumni bring experience in other areas that, together with their new learnings from the bootcamp and motivation, turn them into fundamental pieces of solid and diversified tech teams.

Ricardo Gaspar

Senior Manager - PwC
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.

Lucile Ritchie

Strategy & Operations Manager - Foxintelligence
Both Miguel and Manuel have been great with the challenge of building Landing.Jobs’ platform. We really enjoy both their motivation for constant improvement and their openness to work with our Experience Team.

Pedro Oliveira

COO - Landing.Jobs

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

4.96/5

2,927 reviews

4.9/5

1,279 reviews

4.98/5

2,698 reviews

Download our Data Science & AI syllabus

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.

Student project

Count'a Manta: Applying AI to marine conservation efforts

Data Science & AI students
April 2023
Student project

The way of yoga: An AI yoga trainer

Data Science & AI students
March 2022
Student project

Diversity in Hollywood: Gender & race measurement in the media

Data Science & AI students
December 2021
Student project

Surf Buddy AI

Data Science & AI students
September 2024

Count'a Manta: Applying AI to marine conservation efforts

Student project

Count'a Manta: Applying AI to marine conservation efforts

Data Science & AI students

April 2023

Student project

The way of yoga: An AI yoga trainer

Data Science & AI students

March 2022

Diversity in Hollywood: Gender & race measurement in the media

Student project

Diversity in Hollywood: Gender & race measurement in the media

Data Science & AI students

December 2021

Student project

Surf Buddy AI

Data Science & AI students

September 2024

Career services

Land your dream job
with the support of our career team

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

Discover our career services

Le Wagon career services

7,000+

hiring companies

86%

employment rate

100+

countries with alumni presence

*Our reports are based on surveys sent 6 months after training from 3467 respondents and publicly available data. Our last report was updated in December 2024 and captures outcomes of bootcamp graduates that finished bootcamp in Europe or Online from 1st of Oct. 2022 to 30th of Sep. 2023.

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:

Data Scientist, Data Engineer, Big Data Engineer, Machine Learning Engineer, AI & Data Engineer...

What’s the average Data Science & AI salary in Melbourne?

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 Melbourne data science salary guide.

See what our Melbourne Data Science & AI graduates do now

Sarah Hunt

Data Scientist
Joseph Gulay

Data Engineer
Abdullah Anwar

Data Engineer
Diego Mogollon

Chief Marketing & Technology Officer

A word from our alumni & authors

"The bootcamp was an amazing two-month intensive experience. Working in pairs and practicing all day allowed me to immerse myself completely in the role of a Data Analyst, from data ingestion to exploration and analysis."

Romane Clerc

Data Analyst Blablacar
"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

Data Scientist Sonder
"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

Data Analyst 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

Backend Developer 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

Head of Product 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

Interaction Designer 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

Senior Service Designer 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

Software Engineer 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

Data/IA Manager Consultant Niji
"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

Data Engineer 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

Developer 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

Software Engineer 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

Junior Product Manager 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

Sr. Growth & Operations Manager 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

Web Developer amlconsult GmbH
"“In a matter of weeks, I gained a high-level understanding of data engineering challenges and the technical capabilities needed to take on those opportunities. Since completing the course, I have been much more confident and efficient in my work.”"

Raphael Hidalgo

Data Scientist Junior Finfrog
"An insane experience! The feeling of being really more comfortable technically, of being able to take part in many other projects. And above all, the feeling of truly being part of a passionate and caring community!"

Adeline Cortijos

Growth Marketing Manager Aktio

Upcoming sessions

Join our next session in Melbourne or online

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

Financing options

Find the right financing options for you

Our advisors help you every step of the way to obtain financing and public funding, with the possibility to get up to 100% of your tuition financed.

See financing options

We can help you get financed through different options

Student loans
Public funding & scholarships

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!

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.

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.

Pass our technical quiz

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

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 30h of training.

Apply now