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4.98/5 - 6,000+ student reviews

Data Analytics course in Montreal

  • ✔️

    Learn with the #1 ranked coding bootcamp

  • ✔️

    Graduate in 2 to 7 months, online or in person

  • ✔️

    Get a data job in 3 months on average

Montreal

Our data analytics alumni are now working at:

Pennylane The Fork Decathlon Getaround Asos Meta
Le Wagon logo Apply now
Overview

Become a Data
Analyst in weeks

From data collection to data visualization, get all the technical and business skills to launch a thriving career as a Data Analyst.

  • ✔️

    Learn how to collect, extract and transform data

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    Master business KPIs for creating useful dashboards

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    Excel in Analytics tools used by top-tier companies

  • ✔️

    Build a strong portfolio working on real-world data sets

You will master these programming languages and tech tools:

Python Python
SQL SQL
Looker Studio Looker Studio
Power BI Power BI
Zapier Zapier
Google Tag Manager Google Tag Manager

Apply for the next data analytics bootcamp

Next date

Jan 4, 2025

Availability

Limited seats

See all sessions
Apply now

curriculum

What you'll learn in this data analytics bootcamp

Master data collection, transformation, and visualization and start your Data Analyst career. Build teamwork and business skills to thrive within collaborative Data teams.


40h

Preparation work

Our data analytics course is intense. To be prepared and make the most out of the bootcamp, you must complete 40 hours of preparation work to give you basic tech foundations and culture.

What you will do in practice:

  • 40 hours of online tutorials

Software and languages you will learn:

Python Python
SQL SQL
Google Sheets Google Sheets

40h

Understand and manipulate data

What data is available? Where are they found? What KPIs do we want to follow? In this module, you will conduct in-depth analysis on business data and build automated dashboards with Google Sheets.

What you will do in practice:

  • Identify the data sources to use
  • Build a sales funnel for a sales team
  • Analyze campaign performance for a marketing team
  • Analyze customer retention for a product team

Software and languages you will learn:

Google Sheets Google Sheets

48h

Master the language of Data Analysts

Understand all the techniques to centralize and transform your data in a data warehouse. Create effective dashboards and conduct in-depth analysis for business teams.

What you will do in practice:

  • Query the database to respond to business requests
  • Clean data from business rules
  • Build data models for marketing, sales and product teams
  • Perform analytical queries and optimize your queries

Software and languages you will learn:

SQL SQL
BigQuery BigQuery

56h

Recover and clean data automatically

You're not going to spend all day updating your charts! Master ELT tools (Extract, Load, Transform), APIs or No-code / Low-code tools to extract data from different sources and centralize it. Track the data of your web app by creating a tagging plan.

What you will do in practice:

  • Use APIs and implement webhooks
  • Build an automated lead acquisition workflow for a growth team
  • Track a new website event for a Marketing team
  • Duplicate CRM data in the Data warehouse for a Data team

Software and languages you will learn:

Zapier Zapier
Google Tag Manager Google Tag Manager
dbt dbt

56h

Build interactive dashboards

Create exceptionally clear and interactive charts and dashboards for your teams. Unlock valuable data insights through the adoption of precise analysis methodologies.

What you will do in practice:

  • Select the optimal graphics, contextualize data, and structure information
  • Build dashboards using Google Data Studio and PowerBI
  • Provide data-driven recommendations for action
  • Analyze AB test outcomes to inform product development decisions

Software and languages you will learn:

Power BI Power BI
Looker Studio Looker Studio

80h

Analyse and predict results

Manipulate large volumes of data and understand how to represent them. Master the basics of Machine Learning to predict results and perform complex analysis. Collaborate better with data science and engineering teams.

What you will do in practice:

  • Create your environments and practice versioning with git
  • Predict which users are most at risk of leaving
  • Identify the most discriminating variables among your data
  • Anticipate future revenue and group your customers by category

Software and languages you will learn:

Python Python
Jupyter Jupyter
Pandas Pandas
Scikit-Learn Scikit-Learn
Plotly Plotly
Google Colab Google Colab
Airflow Airflow

80h

Become a Data Analyst for our partners

Conduct a comprehensive data analysis project with real partner data. Master problem formulation, data extraction, centralization, processing and analysis, and the creation of automated value-driven dashboards.

Examples of projects:

  • Define the go-to-market strategy for Fox Intelligence by Nielsen.
  • Define the key factors for success in the Highway Code with Ornikar's data. 
  • Optimize student placement rate with JobTeaser's data.
... And many others!

Start your career in tech!

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 courses are tailored to you.

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 experts

With skilled and helpful teachers, you'll rapidly learn hands-on skills and build a strong foundation to start your career in data.

  • ✔️

    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

Web development students

Meet our course creators and data analytics 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 Analytics bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Download our Data Analytics syllabus

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job-ready portfolio

Build a solid portfolio to showcase your skills to tech recruiters

Work on various data projects, ending with a live demo of your final project to a real audience. Build a solid portfolio ready for job interviews.

Olist: An e-commerce service analysis

Oscar Muls Jérôme Servais Ségolène Mennesson
Data Analytics students
January 2024

Startup Success Invest: Help investment teams make the right decision

Margarida Simoes Malik Voss Filipa Moreira M.a. Marseliano Wirakesuma
Data Analytics students
December 2023

StorePulse: Real-time inventory management

Mike Cerutti Weir Kong Manon Champredon Lotta Zahn
Data Analytics students
June 2023

Right2Rent: French real estate market analysis for business growth

Lukasz Wojtusiak Celine van Den Rul Manuel Moog Elsa Gonçalves Mohamed  Ould Sad Saoud
Data Analytics students
September 2023
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

90%

*

employment rate

100+

countries with alumni presence

* 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.

What career paths open up to you after this data analytics bootcamp?

After the course, you will be able to apply for different roles in data, as an employee or a freelancer:

  • Jobs that are 100% data driven: Data Analyst, Business Analyst, Data Project Manager, Data/BI Consultant, Data Marketing...
  • Hybrid data-business jobs: Ops, Sales Ops, Growth, Product, Digital Marketing, Consulting, Product Data Manager...

What’s the average data analytics salary in Montreal?

Salaries in data analytics 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 Paris data analytics salary guide.


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 Analytics bootcamp

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

1

No technical prerequisites

The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new Tech journey.

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 quiz

You will take a quiz to assess your logic, curiosity and learning capacity in Le Wagon courses.

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.

Bérénisse Lucas Francesco Ecclesie Zainab Alioua Alex Smith

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

✔

Learn more about your financing options

✔

Explore our methodology

Only have one question?

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FAQ

Your questions answered

Some cities offer specific financing options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). You will find more details about these options here. Also feel free to reach out to the local admission manager to have more details about their local financing options.

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.

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 & AI course
The Data science & AI 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.

Data analytics course
The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new tech journey.

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
  • The format (full-time or 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.