Bootcamp

Data Science
course in Mexico

Chart a new career path as a data scientist with the #1 ranked bootcamp in Mexico or online.

⭐️

4.98/5 - 5,200+ student reviews

Mexico
Mexico
Mexico
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Course info

Master the fundamental skills of a Data Scientist
in just a few weeks

✔

Data Analytics Toolkits

Master the fundamental tools of programmatic data-analysts: Python as a backbone, SQL for queries and Jupyter Notebooks for visualization.

  • Python
  • SQL
  • Jupyter
  • Matplotlib
✔

Decision Science

Leverage statistics to build advanced analyses and take well-informed business decisions: statistical inferences, hypothesis testing, multivariate regression and confidence intervals.

  • PandasPandas
  • NumpyNumpy
  • StatsmodelsStatsmodels
✔

Machine Learning & Deep Learning

Master Machine Learning and Deep Learning workflows (data preparation, model selection, evaluation, and fine-tuning) and understand mathematical concepts and numerical implementations behind models.

  • Scikit-LearnScikit-Learn
  • TensorflowTensorflow
  • Google ComputeGoogle Compute
✔

ML Engineering & Team Projects

Package your models into replicable Python code that can be trained on big data in the cloud, using virtual machines and online databases. Monitor & retrain models when needed, and expose them to the world through APIs.

  • GitGit
  • DockerDocker
  • MLflowMLflow
  • FastAPIFastAPI

You can start for FREE! Join a live workshop for web development, data analytics, or UX design.

What our Data Science bootcamp looks like

Check out our curriculum week after week.

Prepwork: get ready to start the bootcamp!

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 Python and maths before the bootcamp starts.

  • Setup your learning environment (notes, text editor, ...)
  • Terminal, Git and OS basic commands
  • Python foundations 
  • Maths foundations (in a fun & intuitive way!)

What you will do in practice

  • 40 hours of online tutorials
  • Curated resources from Le Wagon to gain solid foundations

Data Analysis

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.

  • Source data from files, web-scraping, or APIs
  • Manipulate data with Python, Pandas & Numpy
  • Query / store data with SQL & Google Big Query
  • Visualization with Jupyter Notebook, Matplotlib, Seaborn & Plotly

What you will build in practice

  • A database built by scraping data from online bookstores
  • Advanced analysis of football performances in SQL
  • Visual dashboard connected to stock-market APIs

Decision Science

Put yourself in the shoes of a data consultant, and 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.

  1. Statsmodels for multivariate linear/logistic regressions
  2. Packaging and object-oriented programming in Python
  3. Notebook-based presentations with interactive graphs

What you will build in practice

  • 40h-long data consulting challenge based on real data from a marketplace
  • Individual presentations of your key findings to your client

Machine Learning

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.

  • Scikit-learn and XGBoost libraries
  • Supervised learning (linear, KNN, SVM, Trees, Ensembles)
  • Unsupervised learning (PCA, K-means, t-SNE, DBSCAN)
  • Structured data (tabular, time-series with SARIMAX...)
  • Unstructured data (images, text with Naive-Bayes, Tf-idf, LDA...)

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

Deep Learning

Unveil the magic behind Deep Learning! Understand the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimisers). Build your own neural networks (dense, recurrent, or convolutional), to work on images, sequences and texts. Learn how to re-use and transfer learning from pre-trained “big-models”  from latest open-source research! Get your hands dirty with auto-encoders, batch data processing pipelines, and GPU training.

  • Scikit-learn and XGBoost libraries
  • Supervised learning (linear, KNN, SVM, Trees, Ensembles)
  • Unsupervised learning (PCA, K-means, t-SNE, DBSCAN)
  • Structured data (tabular, time-series with SARIMAX...)
  • Unstructured data (images, text with Naive-Bayes, Tf-idf, LDA...)

What you will build in practice

  • Dense neural network for fraud transaction detection
  • Transfer learning for image classification
  • Auto-encoders for image compression and denoising
  • Recurrent networks for weather forecasting
  • World embedding for sentiment analysis or text auto-completion

Machine Learning Engineering (MLOps)

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.

  • VS code & command line
  • Google Cloud, Virtual Machines, SSH for the trainer
  • MLflow & Prefect for DAG orchestration
  • Docker & Fast API for the backend
  • Streamlit for the frontend

What you will build in practice

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

Project weeks

Projects Phase is the ultimate experience of the course. Collaborate efficiently in teams of 3-4 people on a real data science project that you will either join or pitch to your class. 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!

Career Week: start your career in data science!

Meet data science experts working in startups or large companies, prepare your CV and do mock interviews to prepare your job search. Go deeper into essential data topics.

  • Preparation for your job search
  • Connection to our 15,000 alumni and 985+ hiring partners

What you will do in practice

  • 1:1 coaching 
  • Review of your CV and cover letter
  • Preparation for technical interviews

Prepwork: get ready to start the bootcamp!

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 Python and maths before the bootcamp starts.

  • Setup your learning environment (notes, text editor, ...)
  • Terminal, Git and OS basic commands
  • Python foundations 
  • Maths foundations (in a fun & intuitive way!)

What you will do in practice

  • 40 hours of online tutorials
  • Curated resources from Le Wagon to gain solid foundations

Data Analysis

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.

  • Source data from files, web-scraping, or APIs
  • Manipulate data with Python, Pandas & Numpy
  • Query / store data with SQL & Google Big Query
  • Visualization with Jupyter Notebook, Matplotlib, Seaborn & Plotly

What you will build in practice

  • A database built by scraping data from online bookstores
  • Advanced analysis of football performances in SQL
  • Visual dashboard connected to stock-market APIs

Decision Science

Put yourself in the shoes of a data consultant, and 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.

  • Statsmodels for multivariate linear/logistic regressions
  • Packaging and object-oriented programming in Python
  • Notebook-based presentations with interactive graphs

What you will build in practice

  • 40h-long data consulting challenge based on real data from a marketplace
  • Individual presentations of your key findings to your client

Machine Learning

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.

  • Scikit-learn and XGBoost libraries
  • Supervised learning (linear, KNN, SVM, Trees, Ensembles)
  • Unsupervised learning (PCA, K-means, t-SNE, DBSCAN)
  • Structured data (tabular, time-series with SARIMAX...)
  • Unstructured data (images, text with Naive-Bayes, Tf-idf, LDA...)

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

Deep Learning

Unveil the magic behind Deep Learning! Understand the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimisers). Build your own neural networks (dense, recurrent, or convolutional), to work on images, sequences and texts. Learn how to re-use and transfer learning from pre-trained “big-models”  from latest open-source research! Get your hands dirty with auto-encoders, batch data processing pipelines, and GPU training.

  • Scikit-learn and XGBoost libraries
  • Supervised learning (linear, KNN, SVM, Trees, Ensembles)
  • Unsupervised learning (PCA, K-means, t-SNE, DBSCAN)
  • Structured data (tabular, time-series with SARIMAX...)
  • Unstructured data (images, text with Naive-Bayes, Tf-idf, LDA...)

What you will build in practice

  • Dense neural network for fraud transaction detection
  • Transfer learning for image classification
  • Auto-encoders for image compression and denoising
  • Recurrent networks for wheather forecasting

Machine Learning Engineering (MLOps)

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.

  • VS code & command line
  • Google Cloud, Virtual Machines, SSH for the trainer
  • MLflow & Prefect for DAG orchestration
  • Docker & Fast API for the backend
  • Streamlit for the frontend

What you will build in practice

  • ML model for predicting taxi fares, trained on big data on the cloud with GPUs
  • Visual web dashboard showing live predictions (on charts, maps, etc.)
  • Trained models in production capable of self-healing
  • World embedding for sentiment analysis or text auto-completion

Projects

Projects Phase is the ultimate experience of the course. Collaborate efficiently in teams of 3-4 people on a real data science project that you will either join or pitch to your class. 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 a live demo of model predictions
  • Create an in-depth analysis of a business dataset
  • Replicate latest AI research papers with Big Models!

Career Weeks: start your career in data science!

Meet data science experts working in startups or large companies, prepare your CV and do mock interviews to prepare your job search. Go deeper into essential data topics.

  • Preparation for your job search
  • Connection to our 15,000 alumni and 985+ hiring partners

What you will do in practice

  • 1:1 coaching 
  • Review of CV and cover letter
  • Technical interviews preparation

Need more details about our Data Science bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Coursereport

4.98 / 5

2259 reviews

Switchup

4.98 / 5

2301 reviews

Careerkarma_white

4.9 / 5

714 reviews

Download our Data Science syllabus

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An immersive program that accelerates
your tech skills in weeks

  • Live lecture
    Live lecture 9 - 10.30 AM

    Grab a coffee and start every morning with an engaging & interactive lecture, before putting what you’ve learnt into practice.

  • Challenges
    Challenges 10.30 AM - 4 PM

    Pair up with your buddy for the day and work on a series of programming challenges with the help of our teaching staff.

  • Break
    Break 4 - 5 PM

    Learning how to code can be very intense, which is why we organise special activities on certain days to help you unwind.

  • Live Code
    Live Code 5 - 6 PM

    Review the day’s challenges and get an overview of upcoming lessons during live code sessions.

  • Events
    Events 6 - 8 PM

    Join free events and take your first steps into tech through beginner’s coding workshops or tech talks by industry experts.

  • Lectures
    Lectures

    Watch the first lecture of the week at your own pace on our online platform and attend the second lecture live on campus on Saturday! Grasp core concepts and prepare yourself to solve practical challenges.

  • Challenges
    Challenges

    Meet your peers and teachers on Tuesday & Thursday evenings as well as Saturday to work on real-life challenges. Learn to think and solve problems like a data professional.

  • Recap
    Recap

    Take part in an interactive coding session lead by one of our experienced teachers and solve advanced challenges as a group.

  • Flashcards
    Flashcards

    Consolidate your knowledge on a daily basis playing our Flashcards.

Passionate teachers, acclaimed methods & real-world skills

  • Small cohorts with 1 teacher for 7 students
  • Practice on real data from the best European tech companies
  • Get real-time answers to never be stuck
  • Keep lifetime access to Le Wagon's learning platform
  • Design and pitch your final project in teams
Coursereport

4.98 / 5

2259 reviews

Switchup

4.98 / 5

2301 reviews

Careerkarma

4.9 / 5

714 reviews

  • "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 Google

    Allan Holmes

    Now Interaction Designer at Google

  • "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 Getaround

    Capucine Dehaut

    Now Data Scientist at Getaround

  • "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 Ernst & Young

    Joseph Gulay

    Now Data Analyst at 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 N26

    Carolina Cota

    Now Backend Developer at 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 Back Market

    Adrien Moison

    Now Head of Product at Back Market

  • "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 99designs

    Mathieu Longé

    Now Software Engineer at 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 IBM

    Josselin Grouas

    Now Data/IA Manager Consultant at IBM

  • "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 Hall & Wilcox

    Thomas Temple

    Now Software Engineer at 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 ASDA

    Ștefania-Ella Centea

    Now Junior Product Manager at 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 Razor Group

    Ayelen Klas

    Now Sr. Growth & Operations Manager at Razor Group

  • "The complexity of the final project that I carried out with a team of classmates made me see how much my skills improved during the bootcamp. I highly recommend it."

    Rafael Knabben ResearchGate

    Rafael Knabben

    Now Data Quality Analyst at ResearchGate

  • "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 amlconsult GmbH

    Isabelle Ferrier

    Now Web Developer at amlconsult GmbH

  • "I was writing code, cleaning data and building data pipelines with fluidity. I also really enjoy the fact that Le Wagon is here to help you in your job search after the bootcamp."

    Cyril  Aubry N26

    Cyril Aubry

    Now Jr. Data Analyst at N26

Career services

Land your dream job with our career team

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

Career services video Play
985+

hiring partners

93%

of graduates find jobs

3 months

on average to find a job

Discover our career services

See what our Data Science
graduates do now

Employer Testimonials

  • "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 Getaround Europe

    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 Alan

    Jean-Charles Samuelian-Werve

    Co-founder & CEO

    Alan

  • "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 Skello

    Quitterie Mathelin-Moreaux

    CEO

    Skello

  • "We are a fast paced Scale-up based in EPFL Innovation park. We are often looking for new talents and we love hiring Alumni from Le Wagon. We like their mindset and adaptability. They also blend very well with our corporate culture. Best proof of that, we have hired 7 alumni from Le Wagon Lausanne in the last 2 years."

    Nathan Tempels Tayo

    Nathan Tempels

    Scrum Master

    Tayo

  • "What I particularly like about the data profiles that come out of the Wagon is that they have a fairly full-stack technical foundation that allows them to learn very quickly. They are also often retrained and come with previous experience that allows them to work well with all the company's business lines, especially non-technical ones such as marketing or finance."

    Guillemette  Maillère Getaround

    Guillemette Maillère

    Getaround

  • "Both Miguel and Manuel have been great with the challenge of building Landing.Jobs’ platform. Apart from their technical competence, we really enjoy both their motivation for constant improvement and their openness to work with our Experience Team. We’re now confident they will be a part of our success!"

    Pedro Oliveira Landing.Jobs

    Pedro Oliveira

    COO

    Landing.Jobs

  • "When you want to convert to a technical position, Le Wagon is the new standard! This complete 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 Malt

    Elisa Lorenter

    Head of Talent Acquisition

    Malt

  • "We have recruited 4 Le Wagon Alumni this year in our team, who have fitted very quickly into Foxintelligence culture and who are now very important elements in the team. They have proved to be adaptable, quick learners, and great team collaborators. We now count Le Wagon as one of our Hiring Partners and look forward to recruiting more Le Wagon Alumni."

    Lucile Ritchie Foxintelligence

    Lucile Ritchie

    Strategy & Operations Manager

    Foxintelligence

  • "At Doctolib we always strive for the best talents to scale our products to make access to healthcare fast and equal for everyone. Through Le Wagon bootcamps, we've found these great talents as they learn exactly the right tech skills that help us in our mission. "

    Angela  Diapari Doctolib

    Angela Diapari

    Lead Product Recruiter

    Doctolib

  • "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 PwC

    Ricardo Gaspar

    Senior Manager

    PwC

Financing

Do you need help with financing?

Understand your eligibility and learn how to finance your bootcamp.

  • Installment plan - Spread out your tuition payments.
  • Loans - Apply for a loan with one of our partners.
Financing

Admission

How to apply to our Data Science bootcamp

Our Data Science 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

Programming: you'll need to be comfortable with data types & variables, conditions, loops, functions and data structures.
Mathematics: you'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.
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 a 40h training.

Have questions?

✔

Choose the right course for you

✔

Explore your financing options

✔

Preview our learning platform

Coursereport

4.98 / 5

2259 reviews

Switchup

4.98 / 5

2301 reviews

Careerkarma_white

4.9 / 5

714 reviews

Book a free call with our advisor

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Events

Start your tech journey by attending a free workshop in Mexico

In addition to our courses, we host free evening workshops and entrepreneurial talks at our Mexico campus. Come down and meet us!

Data Science course in Mexico

Web Development course in Mexico

Le Wagon Mexico

Alvaro Obregon 213, Roma Norte

Free workshop: Stock predictions with Python

Workshop gratuito: Aprende el poder de las APIs

Free Workshop: Crea tu primera extensión de Chrome

You can start for FREE! Join a live workshop for web development, data analytics, or UX design.

Alvaro Obregon 213, Roma Norte
Data Science course in Mexico

Web Development course in Mexico

Le Wagon Mexico

Alvaro Obregon 213, Roma Norte

Why you should study Data Science in Mexico

Learning how to code will be a journey of challenges and satisfactions and will become better surrounded of Mexican culture and tacos 🇲🇽🌮

El mercado, la ubicación y la cultura en México son grandes aliados para que extranjeros, empresas y emprendedores decidan desarrollarse aquí. Principalmente la Ciudad de México siempre busca estar a la vanguardia de la innovación y esto implica requerir profesionales que brinden valor a las necesidades socio-culturales y económicas.

F.A.Q.

More than a bootcamp.
Join a global tech network for life.

By choosing Le Wagon, you are joining a supportive community of alumni, teachers, tech recruiters. Benefit from life-long access to the course material, and to our network job offers.

17,729

alumni

45

campuses

1,500

tech experts and professors

93k

meetup members

Need more details about our Data Science bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Coursereport

4.98 / 5

2259 reviews

Switchup

4.98 / 5

2301 reviews

Careerkarma_white

4.9 / 5

714 reviews

Download our Data Science syllabus

Loading form...