Data Science course in Lyon

Lyon
Full-time (9 weeks)

In 9 intensive weeks in Lyon, learn Data Science from Python to advanced Machine Learning, get all the skills to join a Data Science team and boost your career.

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In 9 intensive weeks, learn Data Science from Python to advanced Machine Learning at Le Wagon Lyon.
Course details Apply now
Upcoming batches

Some of our upcoming courses in Lyon can be followed remotely. After you complete your application, the admission manager will be in touch shortly to give you all the necessary information.

Feb 1, 2021 - Apr 2, 2021 on campus or remote Course in French (6,000 €)
Open - Apply now
Overview

Join a unique course

Our full-time Data Science in Lyon course gives you the skills you need to launch your career in a Data Science team in only 9 weeks. From Pandas to Deep Learning, you will finish the course knowing how to explore, clean and transform data into actionable insights and how to implement Machine Learning models from start to finish in a production environment, working in teams with the best-in-class tool belt.

Le Wagon's Data Science course gives you the data science skills you need to launch your career in any data-related role.
Learn Data Science in 9 weeks
Check out what our alumni have built in 2 weeks
Curriculum

Our Data Science course curriculum

Our course is designed to make you learn Data Science step by step, starting with the basic data toolkit in Python and Mathematics to the complete implementation and deployment cycle of Machine Learning algorithms.

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Start the bootcamp prepared!

Our Data Science course is very intense. To save time and nail it from the beginning, our students must complete an online preparation work before starting the bootcamp. This work takes around 40 hours and covers the basics of Python, the pre-requisite language of the course, and some mathematical topics used every day by data scientists.

Python for Data Science

Learn programming in Python, how to work with Jupyter Notebook and to use powerful Python libraries like Pandas and NumPy to explore and analyze big data sets. Collect data from various sources, including CSV files, SQL queries on relational databases, Google Big Query, APIs and Web scraping.

Relational Database & SQL

Learn how to formulate a good question and how to answer it by building the right SQL query. This module will cover schema architecture and then dive deep into the advanced manipulation of SELECT to extract useful information from a stand-alone database or using a SQL client software like DBeaver.

Data Visualization

Make your data analyses more visual and understandable by including data visualizations in your Notebook. Learn how to plot your data frames using Python libraries such as matplotlib and seaborn and transform your data into actionable insights.

Statistics, Probability, Linear Algebra

Understand the underlying math behind all the libraries and models used in the bootcamp. Become comfortable with the basic concepts of statistics & probabilities (mean, variance, random variable, Bayes’s Theorem, etc.) and with matrix computation, at the core of numerical operations in libraries like Pandas and Numpy.

c pulse Statistical inferences

You'll learn how to structure a Python repository with object-oriented programming in order to clean your code and make it re-usable, how to survive the data preparation phase of a vast dataset, and how to find and interpret meaningful statistical results based on multivariate regression models

speaker Communication

Data analysts are meant to communicate their findings to non-technical audiences: You will learn how to create impact by explaining your technical insights and turn them into business decisions using cost/benefits analysis. You'll be able to share your progress, present and compare your results to your teammates.

Preprocessing and Supervised Learning

Learn how to explore, clean, and prepare your dataset through preprocessing techniques like vectorization. Get familiar with the classic models of supervised learning - linear and logistic regressions. Learn how to solve prediction and classification tasks with the Python library scikit-learn using learning algorithms like KNN (k-nearest neighbors).

Generalization and Overfitting

Implement training and testing phases to make sure your model can be generalised to unseen data and deployed in production with predictable accuracy. Learn how to prevent overfitting using regularization methods and how to chose the right loss function to improve your model's accuracy.

Performance Metrics

Evaluate your model's performance by defining what to optimise and the right error metrics in order to assess your business impact. Improve your model's performance with validation methods such as cross validation or hyperparameter tuning. Finally, discover a powerful supervised learning method called SVM (Support Vector Machines).

Unsupervised Learning & Advanced Methods

Move to unsupervised learning and implement methods like PCA for dimensionality reduction or clustering for discovering groups in a data set. Complete your toolbelt with ensemble method that combine other models to improve performance, such as Random Forest or Gradient Boosting.

Neural Networks

Unveil the magic behind Deep Learning by understanding the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimizers). Become autonomous to build your own networks, especially to work with images, times and text, while learning the techniques and tricks that make Deep Learning work.

Computer Vision

Go further into computer vision with Convolutional Neural Networks, architectures designed to take the most out of images. Improve your model generalization thanks to data augmentation techniques and implement advanced methods to benefit from state-of-the-art architectures thanks to Transfer learning methods.

Times-Series & Text data

Get comfortable into managing sequential data and text (sequence of words) by transforming them into appropriate inputs. Leverage the power of Recurrent Neural Networks to forecast future values and perform valuable Natural Language Processing.

Deep Learning made easy

Discover the Keras Deep Learning library which enables to prototype easily while having the flexibility to tune precisely your neural network. Moreover, Google Colab will greatly speed up the computational time thanks to dedicated GPUs.

Machine Learning Pipeline

Move from Jupyter Notebook to a code editor and learn how to setup a machine learning project in the right way in order to quickly and confidently iterate. Learn how to convert a machine learning model into a model with a robust and scalable pipeline with sklearn-pipeline using encoders and transformers.

Machine Learning workflow with MLflow

Building a machine learning model from start to finish requires a lot of data preparation, experimentation, iteration and tuning. We'll teach you how to do your feature engineering and hyperparameter tuning in order to build the best model. For this, we will leverage a library called MLflow.

Deploying to production with Google Cloud Platform

Finally, we'll show you how to deploy your code and model to production. Using Google Cloud AI Platform, you'll be able to train your model at scale, package it and make it available to the world. Cherry on top, you will use a Docker environment to deploy your own RESTful Flask API which could be plugged to any front-end interface.

Student Projects

You'll spend the last two weeks on a group project working on an exciting data science problem you want to solve! As a team, you'll learn how to collaborate efficiently on a real data science project through a common Python repository and the Git flow. You will use a mix of your own datasets (if you have any from your company / non-profit organisation) and open-data repositories (Government initiatives, Kaggle, etc.). It will be a great way to practise all the tools, techniques and methodologies covered in the Data Science Course and will make you realize how autonomous you have become.

Typical day

A typical day at Le Wagon Lyon

From morning lectures to evening talks, every day is action-packed.

  • 09:00 Lectures
  • 10:30 Challenges
  • 16:00 Yoga
  • 17:00 Recap
  • 18:00 Events 20:00
Lectures
Lectures09:00 - 10:30

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

Challenges
Challenges10:30 - 16:00

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

Yoga
Yoga16:00 - 17:00

Learning to code is very intense, so it’s important to take a break and relax during our yoga classes, which run at least once a week.

Live code
Recap17:00 - 18:00

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

Talks & Workshops
Events18:00 - 20:00

Be inspired and get priceless advice from successful entrepreneurs invited for exclusive talks.

Community & tools

Network and learning platform

Our Data Science course is just the beginning of the journey. Once you graduate, you belong to a global tech community and have access to our online platform to keep learning and growing.

Slack icon Slack groups

Get tips and advice from professional data scientists & data analysts, access exclusive job and freelance opportunities from entrepreneurs & developers.

Online classroom

Access our online education platform at any time after the course: you will find all data science lectures, screencasts, challenges and flashcards.

Tech community

Benefit from our global community of 10032 alumni working in data-related roles, but also entrepreneurs, developers and product managers all over the world.

Icon tutorials Global presence

Our different courses are running in 40 campuses all over the world: wherever you go, you belong to the Le Wagon community!

Community and tools for life
Career Services

Find a data job in the best tech companies in Lyon

Once the course ends, you benefit from our career services. We help you meet with the best recruiters and connect with relevant alumni.

microsoftwordCreated with Sketch. Career Playbook

Access a complete guide to kick-start your Data Science career after the course: boost your portfolio, find your dream job, leverage on our 10032 alumni community.

myspaceCreated with Sketch. Career Events

Attend our job fairs and networking events, meet with the best tech companies and receive offers by recruiters looking for talent in data-related roles.

buymeacoffeeCreated with Sketch. Alumni Coaching Sessions

Our data science course alumni love to share their experiences with fresh graduates: they explain how they found their job as Data Scientist, Data Analyst or Data Engineer.

wechatCreated with Sketch. Career Intros

Our local teams know their alumni and hiring partners, what they are up to and what they are looking for. They introduce you to the right people depending on your goal.

Our web development course alumni get hired by the best companies
Hiring Partners

Where our alumni work in data in Lyon

The best companies partner with Le Wagon and hire our alumni as Data Scientist, Data Analyst or Data Engineer.

Getaround Hired 6 graduates
+4
ContentSquare Hired 1 graduates
Aircall Hired 3 graduates
+1
Doctolib Hired 9 graduates
+7
Google Hired 5 graduates
+3
Frichti Hired 1 graduates
Financing options

Find the right financing option for you

Find out if you are eligible for special offers in Lyon.

Training Insurance Fund for the Self-Employed

For the self-employed / self-employed workers, there is a Training Insurance Fund managed by 3 different organizations : FIF-PL- AGEFICE - FAFCEA. Depending on your sector of activity and your profession, you depend on one of these organizations. You must be registered with URSSAF as a self-employed worker and contribute to the training. The funding criteria and terms and conditions vary according to the organizations and the profession. The importance of your right to training varies according to your category of activity (craftsman, trader or liberal profession), your APE code and the training you are planning. This amount is not proportional to your turnover, nor to the contribution to Professional Training that you have paid during your activity.

Translated with www.DeepL.com/Translator (free version)

OPCO

As we are registered at Datadock, our training is validated by the OPCO. You should be able to contact the AFDAS, ATLAS, UNIFORMATION, OPCALIA... and ask them fundings for the bootcamp. Will allow you to use the NAF code (which is on your pay slip) to know which OPCO you depend on.

Guide OPCO
Personal Training Account (CPF)
Personal Training Account (CPF)

Le Wagon FullStack training is registered at the RNCP, which means that you can use your CPF to fund it. Your CPF will be calculated regarding of your accumulated work hours. To find out how this funding option works, you can read this short guide on the CPF (in french).

AIF (financial help for individual training)

This is a funding offered by Pôle Emploi to help you fund your training. This funding is not automatic. In order to get it, you can contact your Pôle Emploi advisor to present him/her your professional project and the reasons why you want to join Le Wagon.

If your Pôle Emploi advisor asks you for a quote, we will be happy to provide you with one if you are selected. You can also ask him/her more information about fundings in your area or local communities.

Partnership with BNP Paribas (french bank)

Le Wagon and BNP Paribas have signed an agreement, valid throughout France, allowing future students of Le Wagon to take out a loan of up to 10,000 euros with repayment over 5 years. This partnership also allows them to benefit from a 1-year deductible before repayment. For more information, please see the article below.

Guide BNP
TRANSITION PRO
TRANSITION PRO

Transition Pro (formerly Fongecif) offers 2 support systems for vocational training.

1-The PTP (professional transition project) : This device allows you to take time off from your workstation to follow a training course in order to acquire new skills, with the aim of changing professions or trades. To define whether it is indeed a change of trade or profession, Transitions Pro relies on an objective tool: the ROME code (Répertoire Opérationnel des Métiers et des Emplois). Based on the elements transmitted, Transitions Pro will compare your current trade and the targeted trade as indicated in the description of your professional project. The professional transition project is intended for employees in the private sector on permanent or fixed-term contracts, temporary and intermittent workers, under certain conditions. The Professional Transition Project funding application file is entirely dematerialized. You can access it from your personal space - Section "PTP Device".

2-The resigning device (dispositif démissionnaire) : It offers you the possibility to resign in order to implement your professional project and receive unemployment benefit. The professional project can be a creation or takeover of a company, or a training course. This device is accessible to employees on permanent contracts in the private sector who can prove a professional activity of 5 years during the last 60 months, at the date of their resignation. Your first step is to make an appointment with a career development consultant (CEP) (contact details download below). This step is mandatory and must be done before resigning.

TRANSITION PRO
CSP (Contract of professional security)

The CSP (Contract of professional security) can allow you to obtain a total funding of training. This financing facility is intended for employees of companies subject to an economic lay-off.

Guide CSP

The most acclaimed Data Science Bootcamp

Le Wagon is the #1 ranked coding bootcamp on Switchup Coursereport logo

Le Wagon has 1871 reviews with an average grade of 4.98/5 which makes it the most acclaimed coding bootcamp worldwide on Switchup according to student reviews! Whilst these reviews make us proud, above all they make us happy. Behind these reviews are hundreds of people around the world who have had a life-changing experience that has opened new doors for them. We feel blessed and honoured to have enabled them - and to keep enabling our students - to become autonomous in coding, upskill or change their career, or launch their own startups.

Also, these 1871 reviews are extremely important for us to make sure we’re always meeting the same level of excellence. Having such positive and enthusiastic reviews about our bootcamps is the ultimate proof that we provide the best tech education for all our students, in the 40 cities we run our coding bootcamps in.

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Want to go further?

Next Lyon Data Science course (full-time coding bootcamp) starts on Feb 1, 2021

Apply now
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