In 9 intensive weeks in Lyon, learn all the skills of a Data Scientist. Analyse rich data sets, make complex decisions using data and discover the power of AI & Machine learning to solve real world problems.
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Our Data Science course in Lyon takes you from Data Enthusiast to Data Scientist in 9 weeks. You will be able to analyse data to make decisions, implement AI and Machine Learning models and build a practical data application ready for real-world deployment. Enter the world of Data Science as a Data Analyst, Data Engineer or Data Scientist, enhance your academic studies, solve global issues, or advance your career with our 600+ global hiring partners in industries such as marketing, finance, and commerce with a unique data skillset.
Our course in Lyon is designed to help you learn Data Science step by step. Use data to provide actionable insights and build a real-world data application to showcase your skills.
Learn programming in Python, how to work with Jupyter Notebook and to use powerful Python libraries like Pandas and NumPy to explore and analyse big data sets. Collect data from various sources, including CSV files, SQL queries on relational databases, Google Big Query, APIs and Web scraping.
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.
Make your data analyses more visual and understandable by including data visualisations 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.
In Lyon you will learn about 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.
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.
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.
Learn how to explore, clean, and prepare your dataset through preprocessing techniques like vectorisation. 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).
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.
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).
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.
Unveil the magic behind Deep Learning by understanding the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimisers). 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.
Go further into computer vision with Convolutional Neural Networks, architectures designed to make the most out of images. Improve your model generalisation thanks to data augmentation techniques and implement advanced methods to benefit from state-of-the-art architectures thanks to Transfer Learning methods.
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.
Discover the Keras Deep Learning library which enables you 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.
Move from Jupyter Notebook to a code editor and learn how to set up 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.
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.
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 into any front-end interface.
The final weeks of the course will culminate in the delivery of your capstone project! Working collaboratively in small teams, the project will allow you to utilise all the skills you have learned throughout the bootcamp in order to solve a real world data science problem.
Our Data Science course requires a basic level of Python & Mathematics. As we want all of our students to succeed, you'll be able to test your level and refresh your skills before the Bootcamp starts.
You'll need to be comfortable with data types & variables, conditions, loops, functions and data structures (List & Dictionary).
You'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.
After a chat with our Admissions team, you will receive a Python & Mathematics Quiz to help you and the Admissions team better understand your current level in Python & Maths. We'll also provide you with a set of additional free learning resources to help you match the prerequisite level for the Bootcamp.
Once you have been accepted onto the Data Science Bootcamp (congrats!), you'll receive ~ 40h of online learning resources. We require all of our students to complete this before the Bootcamp starts, either at their own pace or during our Data Prep Week.
The Data Prep Week takes place the week before the official start date of the Bootcamp. This is an additional week of interactive online learning designed to help you get through this content as efficiently as possible and ensure you have the necessary foundations in Python before the bootcamp starts.
From morning lectures to evening talks, every day in Lyon is action-packed.
Grab a coffee and start every morning with an engaging & interactive lecture, before putting what you’ve learnt into practice.
Pair up with your buddy for the day, and work on a series of programming challenges with the help of our teaching staff.
Learning to code can be very intense. If you want, you can make the most of the yoga classes we organize on certain days to relax and take a break.
Review the day’s challenges and get an overview of upcoming lessons during live code sessions.
Be inspired and get priceless advice from successful entrepreneurs invited for exclusive talks.
At the end of the bootcamp, we will organise our Career Week. This week gives you the tools you need to take the next steps in your career, whether it is finding your first job in a Data Science role, exploring career opportunities with your new data skill set, or launching your start-up.
Workshops
Benefit from a combination of panel discussions, workshops, presentations, and assignments to help you find the right career path.
Becoming job-ready
Prepare your personal profile, complete job applications, prepare for technical challenges, and make a game plan for after the bootcamp!
Inspiration
Hear from alumni about their post-Bootcamp journeys and what a typical day looks like in their new careers.
Custom-made
You can join any workshops or watch any tutorials that you are interested in. You create your own career week according to your interests and objectives
Since day one, we’ve taken teaching seriously. Great teachers inspire us to connect to topics on a profound level. Experience as a developer alone doesn’t necessarily make one an effective teacher — that’s why we’re passionate about finding not only great engineers, but deeply committed, experienced teachers.
Arturo worked for 8 years in connected objects's field and was a researcher at MIT where he discovered Data Science. Today, Arturo is a professor and the Batch Owner of the Data Science course in Le Wagon Lyon.
more about ArturoLyon's 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.
Get tips and advice from professional data scientists & data analysts, access exclusive job and freelance opportunities from entrepreneurs & developers.
Access our online education platform at any time after the course: you will find all data science lectures, screencasts, challenges and flashcards.
Benefit from our global community of 14,928 alumni working in data-related roles, but also entrepreneurs, developers and product managers all over the world.
Our different courses are running in 41 campuses all over the world: wherever you go, you belong to the Le Wagon community!
Once the course ends, you benefit from our career services. We help you meet with the best recruiters in Lyon and connect with relevant alumni.
Access a complete guide to kick-start your Data Science career in Lyon after the course: boost your portfolio, find your dream job, leverage on our 14,928 alumni community.
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.
Our Data Science Course alumni love to share their experiences with more recent graduates. They explain how Le Wagon helped them find their dream role in Data Science and share insights into how they used their new data skill sets to accelerate their careers in various sectors, such as marketing, finance, healthcare and academic research.
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.
The best companies partner with Le Wagon and hire our alumni as Data Scientists, Data Analysts, Product Managers or Data Engineers.
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Find out if you are eligible for special offers in Lyon.
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).
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.
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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 OPCOThis 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.
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 (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 PROThe 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
Le Wagon has 2271 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 joining our program, which 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 2271 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 41 cities we run our coding bootcamps in.
Data Science course in Lyon
Web Development training | Le Wagon Lyon
20 rue des Capucins, 69001 Lyon
Next Lyon Data Science course (full-time coding bootcamp) starts on Jul 11, 2022
