Bootcamp

Data Science
course in Zurich

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

⭐️

4.98/5 - 5,200+ student reviews

Zurich
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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!

Our Flex part-time Data Science Bootcamp is a fully remote program that requires online study. To ensure you are thoroughly prepared, you must first complete ~40 hours of intuitive and interactive online learning. This prep work will ensure that you have the necessary foundation in Python and mathematics before the bootcamp begins.

  • Setup your learning environment (notes, text editor, etc.)
  • 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
  • Study curated resources from Le Wagon to build a solid foundation

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

Online 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 online with 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 online 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 engaging & interactive video-recorded lectures online at a time that suits you, before putting what you’ve learned into practice.

  • Livecode
    Livecode

    Join an interactive online coding session with one of our experienced teachers & solve problems together with your class.

  • Helpdesk
    Helpdesk

    Contact a live member of the Le Wagon teaching team via our online learning platform for an immediate answer to any question.

  • On demand TA support
    On demand TA support

    Got a question outside of teaching hours? No problem, post your question and receive an answer ASAP.

Train with an EduQua certified school in Switzerland 

eduQua is the first Swiss quality label geared towards providers of adult learning programmers. The label promotes transparency and comparability of adult learning for the benefit of consumers and contributes to safeguarding the quality of adult education programmers in Switzerland. More than 1,000 schools, institutes and academies in the whole of Switzerland are eduQua certified.

Zurich certification

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 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

  • "Every time LeWagon starts a new Web Development batch in Zürich, we participate as teachers and also scout for new talents. We had a great experience with students that, after the Bootcamp, started working with us, because they worked on real projects and have the right attitude to continue learning on the Job and grow in this field."

    Alessandro  Rodi Renuo

    Alessandro Rodi

    Partner at Renuo

    Renuo

  • "Le Wagon`s bootcamp has technically trained and prepared several students who joined the internship program for women in IT at SIX. This is a great opportunity that one should seize to strengthen the team with women who are highly motivated to work in IT; they are adding valuable points of view from other areas and improving the team structure."

     Jürgen Enderle Six

    Jürgen Enderle

    Head of IT

    Six

Financing

Do you need help with financing?

Understand your eligibility and learn how to finance your bootcamp.

  • Installment plan - Spread out your tuition payments.
  • Public funding - Get your bootcamp financed by government funding and subsidies.
  • Loans - Apply for a loan with one of our partners.
  • Scholarships - Benefit from social impact programs and discounts for underrepresented communities.
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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 Zurich

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

Web Development course in Zurich

Data Science course in Zurich

Le Wagon Zurich

Rennweg 57, 8001 Zürich

Le Wagon Zurich Demo Day - Batches #1062 & #1063

Python for Beginners 🐍

Get started with Data Visualization in Tableau

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

Rennweg 57, 8001 Zürich

Web Development course in Zurich

Data Science course in Zurich

Le Wagon Zurich

Rennweg 57, 8001 Zürich

Why you should study Data Science in Zurich

It is not a secret that is very tough to get access to the Swiss Job Market. But when you manage to enter it, it is very rewarding in terms of quality of life and salary. By studying in Zurich, benefit from our connections with local hiring companies and start networking right from the beginning of the bootcamp with recruiters, alumni, teachers, event speakers and participants, etc.

The annual EIU report (Global Liveability Index 2022) provides a ranking of the best places to live in the world – 173 cities scored across five broad categories and ranked according to stability, healthcare, culture and environment, education, and infrastructure. Zurich has been ranked 3rd with an overall rating of 96.3, just below Copenhagen and Vienna. Often mistaken as Switzerland’s capital (that’s actually Bern), Zürich is its largest and wealthiest city, meaning it attracts people from all over the world looking to live a better life. Once they arrive, most quickly discover the city’s true appeal – yes, it’s efficient, clean and well run but scratch a little below the surface and you’ll discover a post-industrial cauldron of young and old creatives treading its winding streets, venturing into the surrounding mountains and lakes in search of adventure, bringing new ideas to life, and buzzing with the opporunities of what may be thanks to its ‘anything is possible’ atmosphere. Commuting to work by floating down the Limmat River is also a great way to start each day!

Switzerland is playing a key role in building the next dimension of the internet: the metaverse. Thanks to the influence of the Swiss Federal Institute of Technology Zurich (ETH Zurich), Microsoft, Facebook, Google, Disney Research and Magic Leap have all opened offices or research laboratories in Switzerland's economic capital.

Switzerland is home to world-renowned universities and research institutes in the area of AI, such as the two federal institutes of technology ETH Zurich and EPFL in Lausanne, IDSIA in Lugano, IDIAP in Martigny, and many cantonal universities. This proximity to cutting-edge research is an important reason why global tech companies such as Google, IBM, and HPE conduct their research from here. Thanks to its traditional strength in the field of life sciences, Switzerland also drives AI developments in healthcare and pharmaceuticals. There is a closely-knit tech ecosystem in place that brings innovative products to the market quickly. Switzerland provides a very stable political and economic environment that offers globally active companies a safe place to host and validate their main asset: data. Trustworthy governance and legal certainty lead to reduced risks for companies, which benefit from unbureaucratic support from cantons and the government.

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.

17,756

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

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