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4.98/5 - 6,000+ student reviews

Data Science & AI course in Montreal

  • ✔️

    Learn with the #1 ranked tech bootcamp

  • ✔️

    Graduate in 2 to 7 months, online or in person

  • ✔️

    Get a data job in 3 months on average

Montreal

Our data science alumni are now working at:

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

Become a Data
Scientist in weeks

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

  • ✔️

    Learn essential data analysis methods and tools

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    Master Machine Learning and Deep Learning

  • ✔️

    Create AI solutions and advanced predictive models

  • ✔️

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

You will master these programming languages and tech tools:

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

Apply for the next Data Science & AI bootcamp

Next date

Mar 29, 2025

Availability

Limited seats

See all sessions
Apply now

curriculum

What you’ll learn in this Data Science & AI bootcamp

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


30h

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:

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

Software and languages you will learn:

Python Python
Git Git

10h

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

Software and languages you will learn:

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

40h

Put yourself in the shoes of a Data Consultant

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

What you will do in practice:

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

Software and languages you will learn:

Python Python
Statsmodel Statsmodel

80h

Implement the Machine Learning workflow

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

What you will build in practice:

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

Software and languages you will learn:

Scikit-Learn Scikit-Learn

40h

Dive into Deep Learning

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

What you will build in practice:

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

Software and languages you will learn:

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

40h

Train your model

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

What you will build in practice:

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

Software and languages you will learn:

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

Leverage AI in your projects

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

You will learn to:

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

Software and languages you will use:

ChatGPT ChatGPT
Copilot Copilot
LangChain LangChain

80h

Build you own data science project

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

What you will build in practice

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

Start your career in data science!

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

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

Learning Schedule

Choose the learning schedule that suits you

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

Le Wagon's students learning on campus

Full-time

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


  • ✔️

    Graduate in 2 months

  • ✔️

    All day peer-to-peer learning

  • ✔️

    40 hours of study in total, per week

Le Wagon's students learning online

Part-time

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


  • ✔️

    Graduate in 7 months

  • ✔️

    Flexible peer-to-peer learning

  • ✔️

    16 hours of study in total, per week

our method

Boost your skills learning from passionate data science & AI experts

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

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    Practice on real-life projects using real data

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    Join a group of like-minded peers to support you

  • ✔️

    Get career coaching to land your dream job

Web development students

Meet our course creators and data science experts

The top tech recruiters choose Le Wagon graduates

  • Nicholas Laroche working at Beatconnect
    quote
    I met eight Le Wagon students and was very impressed with the talent level and variety of profiles. What I like is that they come from very different backgrounds and all decided to make a career change because they’re very excited about working in tech.
    Beatconnect

    Nicholas Laroche

    Cofounder & CTO - Beatconnect

  • Yannick Bessette working at Beslogic
    quote
    Le Wagon has proven to be an excellent coding school for our company. We hired 6 alumni and we are very satisfied with them. Their passion, curiosity and desire to quickly learn new technologies make them very promising candidates.
    Beslogic

    Yannick Bessette

    CEO & Founder - Beslogic

  • Julie Lacasse working at Cobalt Intelligence
    quote
    In the corporate world, there is often a lack of time and resources to mentor new developers, but Le Wagon alumni have already established a knowledge base and a solid foundation.
    Cobalt Intelligence

    Julie Lacasse

    HR Consultant - Cobalt Intelligence

  • Stefano Apostolakos working at Webistry
    quote
    The benefits of being Le Wagon’s hiring partner are that you get constant access to highly motivated, resilient, and talented individuals looking to jump into their profession.
    Webistry

    Stefano Apostolakos

    VP & co-founder - Webistry

  • Eric Ferole working at Activis
    quote
    We have recruited three alumni and are very happy with their performance. The processes they learned during the bootcamp have enabled them to quickly feel comfortable in their new positions.
    Activis

    Eric Ferole

    Vice-President, digital solutions - Activis

  • Noa Disegni working at Trendit
    quote
    For us, Le Wagon is a real opportunity. The alumni we have recruited have already worked on several projects, demonstrating a great level of independence.
    Trendit

    Noa Disegni

    Co-founder - Trendit

  • Manon Gisolet working at Potloc
    quote
    Over the years, we've had the opportunity to meet alumni with very diverse profiles. Each of them brings a different perspective, and it's thanks to this diversity that we foster innovation.
    Potloc

    Manon Gisolet

    Senior Director, Talent & Culture - Potloc

  • Alec Martel working at AlleyCorp Nord
    quote
    I recommend going to Le Wagon Montréal to meet ambitious candidates!
    AlleyCorp Nord

    Alec Martel

    Talent Acquisition Specialist - AlleyCorp Nord

  • Nicholas Laroche working at Beatconnect
    quote
    I met eight Le Wagon students and was very impressed with the talent level and variety of profiles. What I like is that they come from very different backgrounds and all decided to make a career change because they’re very excited about working in tech.
    Beatconnect

    Nicholas Laroche

    Cofounder & CTO - Beatconnect

  • Yannick Bessette working at Beslogic
    quote
    Le Wagon has proven to be an excellent coding school for our company. We hired 6 alumni and we are very satisfied with them. Their passion, curiosity and desire to quickly learn new technologies make them very promising candidates.
    Beslogic

    Yannick Bessette

    CEO & Founder - Beslogic

  • Julie Lacasse working at Cobalt Intelligence
    quote
    In the corporate world, there is often a lack of time and resources to mentor new developers, but Le Wagon alumni have already established a knowledge base and a solid foundation.
    Cobalt Intelligence

    Julie Lacasse

    HR Consultant - Cobalt Intelligence

  • Stefano Apostolakos working at Webistry
    quote
    The benefits of being Le Wagon’s hiring partner are that you get constant access to highly motivated, resilient, and talented individuals looking to jump into their profession.
    Webistry

    Stefano Apostolakos

    VP & co-founder - Webistry

  • Eric Ferole working at Activis
    quote
    We have recruited three alumni and are very happy with their performance. The processes they learned during the bootcamp have enabled them to quickly feel comfortable in their new positions.
    Activis

    Eric Ferole

    Vice-President, digital solutions - Activis

  • Noa Disegni working at Trendit
    quote
    For us, Le Wagon is a real opportunity. The alumni we have recruited have already worked on several projects, demonstrating a great level of independence.
    Trendit

    Noa Disegni

    Co-founder - Trendit

  • Manon Gisolet working at Potloc
    quote
    Over the years, we've had the opportunity to meet alumni with very diverse profiles. Each of them brings a different perspective, and it's thanks to this diversity that we foster innovation.
    Potloc

    Manon Gisolet

    Senior Director, Talent & Culture - Potloc

  • Alec Martel working at AlleyCorp Nord
    quote
    I recommend going to Le Wagon Montréal to meet ambitious candidates!
    AlleyCorp Nord

    Alec Martel

    Talent Acquisition Specialist - AlleyCorp Nord

Want to learn more about our Data Science & AI bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

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Understand our methodology

Download our Data Science & AI syllabus

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job-ready portfolio

Build a solid portfolio to showcase your skills to tech recruiters

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

Count'a Manta: Applying AI to marine conservation efforts

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

The way of yoga: An AI yoga trainer

Ju-Hae Kim Michael Daniel Raghda Mahmoud
Data Science & AI students
March 2022

Diversity in Hollywood: Gender & race measurement in the media

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

1000+

hiring partners

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:

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

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 Montreal data science salary guide.


 See what our Montreal Data Science & AI graduates do now 

Here’s why people like you choose Le Wagon

Upcoming sessions

Join our next session in Montreal or online

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

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Financing

Do you need help with financing?

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

See financing options
Admission advisor at Le Wagon

We can help you get financed through different options

  • Student loans
  • Public funding & scholarships
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Admission

How to apply to our Data Science & AI bootcamp

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

1

Suggested requirements

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

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

2

Book an interview with our enrolment advisor

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

3

Pass our technical quiz

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

4

Payment options & prepwork

The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of 30h of training.

Tiphaine James Milene Cardoso Fernando Americano Williams Soedewa

Book a free call with our advisors

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Discuss your career

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Decide which course is the best for you

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Learn more about your financing options

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Explore our methodology

Only have one question?

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FAQ

Your questions answered

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.

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.

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: 
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.

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.

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.

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.

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.

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. 

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.

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.