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4.98/5 - 6,000+ student reviews

Change your career with our Data Analytics course

  • ✔️

    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

Our data analytics alumni are now working at:

Pennylane The Fork Decathlon Getaround Asos Meta
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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

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    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

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

Audience attentively listening to a speaker during a conference, seated in rows.
Data Analytics info session

Join the next info session

Dive deeper into Data Analytics with out expert-led info session. Get insights, ask questions, and see how our course can transform your career.

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

Locations

Where would you like to study Data Analytics?

You can choose to learn Data Analytics in over 40 locations worldwide or online. Find now your learning destination!

Data Analytics students

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Not sure yet? See all locations
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

  • Quitterie Mathelin-Moreaux working at Skello
    quote
    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.
    Skello

    Quitterie Mathelin-Moreaux

    CEO - Skello

  • Simon Baldeyrou working at 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.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Jean-Charles Samuelian-Werve working at Alan
    quote
    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.
    Alan

    Jean-Charles Samuelian-Werve

    Co-founder & CEO - Alan

  • Nathan Tempels working at Tayo
    quote
    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.
    Tayo

    Nathan Tempels

    Scrum Master - Tayo

  • Angela  Diapari working at Doctolib
    quote
    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.
    Doctolib

    Angela Diapari

    Lead Product Recruiter - Doctolib

  • Elisa Lorenter working at 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!
    Malt

    Elisa Lorenter

    Head of Talent Acquisition - Malt

  • Ricardo Gaspar working at PwC
    quote
    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.
    PwC

    Ricardo Gaspar

    Senior Manager - PwC

  • Lucile Ritchie working at 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.
    Foxintelligence

    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

  • Pedro Oliveira working at Landing.Jobs
    quote
    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.
    Landing.Jobs

    Pedro Oliveira

    COO - Landing.Jobs

  • Quitterie Mathelin-Moreaux working at Skello
    quote
    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.
    Skello

    Quitterie Mathelin-Moreaux

    CEO - Skello

  • Simon Baldeyrou working at 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.
    Getaround Europe

    Simon Baldeyrou

    CEO - Getaround Europe

  • Jean-Charles Samuelian-Werve working at Alan
    quote
    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.
    Alan

    Jean-Charles Samuelian-Werve

    Co-founder & CEO - Alan

  • Nathan Tempels working at Tayo
    quote
    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.
    Tayo

    Nathan Tempels

    Scrum Master - Tayo

  • Angela  Diapari working at Doctolib
    quote
    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.
    Doctolib

    Angela Diapari

    Lead Product Recruiter - Doctolib

  • Elisa Lorenter working at 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!
    Malt

    Elisa Lorenter

    Head of Talent Acquisition - Malt

  • Ricardo Gaspar working at PwC
    quote
    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.
    PwC

    Ricardo Gaspar

    Senior Manager - PwC

  • Lucile Ritchie working at 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.
    Foxintelligence

    Lucile Ritchie

    Strategy & Operations Manager - Foxintelligence

  • Pedro Oliveira working at Landing.Jobs
    quote
    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.
    Landing.Jobs

    Pedro Oliveira

    COO - Landing.Jobs

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

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 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?

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 Data Analytics salary guide.


 See what our Data Analytics graduates do now 

Here’s why people like you choose Le Wagon

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.

Admission advisor at Le Wagon
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.

Ask all your questions to our advisors

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Only have one question?

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.

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.

To succeed as a Data Analyst, you need a mix of technical and soft skills. On the technical side, proficiency in tools like Excel, Power BI, and Google Data Studio is crucial for data visualization and analysis. You should also be comfortable with programming languages such as Python, R, and SQL, which are essential for data manipulation and complex analyses. Familiarity with business intelligence tools and basic machine learning concepts can further enhance your capabilities.

Soft skills are equally important. Strong communication skills are necessary for presenting findings to stakeholders with varying levels of technical expertise. Critical thinking helps you identify trends and make informed decisions, while problem-solving skills enable you to derive actionable insights from data. Attention to detail ensures accuracy in your analyses, and effective time management helps you meet deadlines.

Collaboration is also key, as data analysis often involves working with team members across different departments. Lastly, a commitment to continuous learning is essential to keep up with the latest technologies and trends in the field.

Tuition fees are tailored to each location, reflecting local cost of living and economic factors, ensuring accessibility across cities. For exact pricing and available payment options, visit the course page for your chosen city on Le Wagon’s website. Here, you can explore various financing options, including deferred payment plans, student loans, and, in some locations, Income Share Agreements (ISAs), making it easier to pursue your tech education and start your new career without financial barriers.

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.

Your career opportunities after the bootcamp are diverse. You can pursue roles such as:
• Data Analyst
• Business Analyst
• Data Manager
• Data Consultant

Alternatively, you can work as a freelancer on various data analytics projects. For those with an entrepreneurial spirit, there’s the potential to launch your own project.
Upon completing the Data Analytics Bootcamp, you'll have the skills needed to kickstart your career in a data analytics team. You'll become proficient in exploring, cleaning, and transforming data into actionable insights, and you'll learn how to implement machine learning models from start to finish in a production environment. You'll also gain experience working collaboratively in teams using industry-standard tools.

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.

Data analytics is the process of collecting, processing, and analyzing raw data to extract insights and inform decision-making. It encompasses various techniques and methods, including data mining, predictive modeling, and statistical analysis.

Used across industries, data analytics helps improve decision-making, identify trends, and gain a competitive edge. The process involves cleaning and transforming data to prepare it for analysis, followed by exploring and visualizing the data to uncover insights.

Additionally, data analytics includes developing and implementing predictive models to assess risks and opportunities. As the volume of available data increases, data analytics has become crucial for businesses and organizations aiming to thrive in a data-driven environment.

Data Science is a broader, interdisciplinary field that includes advanced techniques like machine learning, predictive modeling, and algorithm development to uncover patterns and generate insights from both structured and unstructured data. Data Analytics, on the other hand, focuses on analyzing existing datasets to identify trends, solve specific problems, and support immediate decision-making. While Data Analytics is a key component of Data Science, the latter extends to creating models and systems that enable predictions and automation. Both roles require a strong foundation in data, but their scope and focus differ significantly. To explore more about these differences, check out this article on our blog.

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.