Full-time (9 weeks)

In 9 intensive weeks in Nice, 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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 In 9 intensive weeks, learn Data Science from Python to advanced Machine Learning at Le Wagon Nice.
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Feb 14, 2022 - Apr 15, 2022 Course in French (6,000 €)
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Join an immersive Data Science course

Our Data Science course in Nice 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.

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

Our Data Science curriculum

Our course in Nice 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.

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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 analyse 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 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.

Statistics, Probability, Linear Algebra

In Nice 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.

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 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).

Generalisation 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, 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.

Computer Vision

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.

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 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.

Machine Learning Pipeline

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.

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 into any front-end interface.

Solve real-world problems with Data!

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.

  • Collaborate efficiently in teams of 3-4 people on a real data science project through a common Python repository.
  • 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.)
  • Put into practice all the tools, techniques, and methodologies covered in the Data Science Course.
  • Invent, pitch, design, code, and deploy your fully functioning Data Project, to be used in real-life scenarios and as a portfolio-ready application to showcase your new data science skill set.

Admission & prep work

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.

Admission prerequisites in Python & Maths
  • Python prerequisites

    You'll need to be comfortable with data types & variables, conditions, loops, functions and data structures (List & Dictionary).

  • Mathematics prerequisites

    You'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.

  • Testing your skills

    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.

Post-admission prep work

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.

A typical day at Le Wagon Nice

From morning lectures to evening talks, every day in Nice 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
Yoga (Optional)16:00 - 17:00

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.

Live code
Recap17:00 - 18:00

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

Talks & Workshops
Events (Optional)18:00 - 20:00

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

Career Week

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 Workshops

Benefit from a combination of panel discussions, workshops, presentations, and assignments to help you find the right career path.

Becoming job-ready Becoming job-ready

Prepare your personal profile, complete job applications, prepare for technical challenges, and make a game plan for after the bootcamp!

Inspiration Inspiration

Hear from alumni about their post-Bootcamp journeys and what a typical day looks like in their new careers.

Custom-made Custom-made

You can join any workshops or watch any tutorials that you are interested in. You create your own career week according to our interests and objectives

Timetable for the week
Monday
  • Discover career paths
Tuesday
  • Prepare for a job application
Wednesday
  • Prepare for technical challenges
Thursday
  • Apply for jobs
Friday
  • Game plan post bootcamp

Network and learning platform

Nice'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.

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 12,944 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 44 campuses all over the world: wherever you go, you belong to the Le Wagon community!

Community and tools for life

Find a data job in the best business & tech companies in Nice

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

microsoftwordCreated with Sketch. Career Playbook

Access a complete guide to kick-start your Data Science career in Nice after the course: boost your portfolio, find your dream job, leverage on our 12,944 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 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.

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

Where our alumni work in data in Nice

The best companies partner with Le Wagon and hire our alumni as Data Scientists, Data Analysts, Product Managers or Data Engineers.

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

Find the right financing option for you

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

Je suis demandeur d'emploi

Le Pass Sud Formation (PSF)

La Région Sud a mis en place un dispositif de financement pour la formation des demandeurs d’emploi, résidant en PACA. Il permet un financement intégral de la formation avec la mobilisation du CPF. La demande doit être effectuée au maximum 3 semaines avant le début de la formation sur le site de la Région Sud .

Le Compte de formation professionnel (CPF)

Une personne ayant déjà travaillé en France en tant que salarié, peut mobiliser son CPF sur la plateforme https://www.moncompteformation.gouv.fr/espace-prive/html/#/

Voici la marche à suivre :

Les formations du Wagon Marseille apparaîtront au nom de FAST (raison sociale) en rentrant les données suivantes “concepteur-développeur d’applications web” ou “développeur en intelligence artificielle” et “13006” en code postale dans la barre de recherche.

L’Aide individuelle à la formation (AIF)

Un demandeur d’emploi de niveau infra bac ou licencié économique peut demander à Pôle Emploi une Aide Individuelle à la Formation afin d’obtenir le financement intégral de la formation au Wagon. La demande doit être effectuée au maximum 10 jours ouvrés avant le début de la formation.

La Préparation Opérationnelle à l’Emploi Individuelle (POEI)

La Préparation Opérationnelle à l’Emploi Individuelle permet à un demandeur d’emploi qui a reçu une proposition d’emploi (CDD d’au moins 12 mois, CDI, contrat de professionnalisation, contrat d’apprentissage d’au moins 12 mois) post-formation, de se faire financer tout ou partie de sa formation par Pôle Emploi. Si le financement n’est pas total, le complément peut-être financé par le futur employeur ou son OPCO. La demande doit être effectuée au maximum 10 jours ouvrés avant le début de la formation.

Prêt étudiant BNP

Ce partenariat permet à nos apprenants de faire une demande de financement pour tout ou partie de la formation. Voici les conditions du prêt :

  • Taux : 0,8%

  • Durée: jusqu’à 9 ans

  • Possibilité de différer le remboursement jusqu’à 3 ans

Il est conseillé d'effectuer la demande au maximum 10 jours ouvrés avant le début de la formation.

Je suis salarié

Le Compte de formation professionnel (CPF)

Une personne ayant déjà travaillé en France en tant que salarié, peut mobiliser son CPF sur la plateforme https://www.moncompteformation.gouv.fr/espace-prive/html/#/

Voici la marche à suivre :

Les formations du Wagon Marseille apparaîtront au nom de FAST (raison sociale) en rentrant les données suivantes “concepteur-développeur d’applications web” ou “développeur en intelligence artificielle” et “13006” en code postale dans la barre de recherche.

Transitions Pro

Le financement par Transitions Pro va permettre de financer majoritairement des personnes en reconversion professionnelle. Pour en bénéficier les candidats peuvent avoir plusieurs statuts : CDI, CDD ou demandeurs d’emploi ayant fait la demande de financement avant la fin de leur contrat de travail. La demande doit être effectuée au maximum 3 mois avant le début de la formation pour des personnes en CDI et au maximum 2 mois avant pour des personnes en CDD.

Les Opérateurs de Compétences (OPCO)

Les OPCO permettent aux entreprises de financer entièrement ou partiellement la formation de leurs salariés. Afin d’effectuer une demande de financement auprès de l’OPCO de son entreprise, il convient de se rapprocher en amont de la personne chargée des ressources humaines au sein de son entreprise ou de son manager afin de discuter du projet avec eux.

Le processus "démissionnaire"

C’est un processus de Transitions Pro qui permet, pour une personne ayant travaillé sur les 5 dernières années, et souhaitant se reconvertir, de démissionner tout en ayant accès aux indemnisations chômage de Pôle Emploi. Le projet de reconversion être travaillé en amont avec un conseiller en évolution professionnelle.

Prêt étudiant BNP Paribas

Ce partenariat permet à nos apprenants de faire une demande de financement pour tout ou partie de la formation.

Voici les conditions du prêt :

  • Taux : 0,8%

  • Durée: jusqu’à 9 ans

  • Possibilité de différer le remboursement jusqu’à 3 ans

Il est conseillé d'effectuer la demande au maximum 10 jours ouvrés avant le début de la formation.

Je suis étudiant

Prêt étudiant BNP Paribas

Ce partenariat permet à nos apprenants de faire une demande de financement pour tout ou partie de la formation.

Voici les conditions du prêt :

  • Taux : 0,8%

  • Durée: jusqu’à 9 ans

  • Possibilité de différer le remboursement jusqu’à 3 ans

Il est conseillé d'effectuer la demande au maximum 10 jours ouvrés avant le début de la formation.

Le Compte de formation professionnel (CPF)

Une personne ayant déjà travaillé en France en tant que salarié, peut mobiliser son CPF sur la plateforme https://www.moncompteformation.gouv.fr/espace-prive/html/#/

Voici la marche à suivre :

Les formations du Wagon Marseille apparaîtront au nom de FAST (raison sociale) en rentrant les données suivantes “concepteur-développeur d’applications web” ou “développeur en intelligence artificielle” et “13006” en code postale dans la barre de recherche.

Je suis freelance/auto-entrepreneur

Cotisation à la formation professionnel (CFP)

Ce dispositif permet l'accès à un financement de 500 à 1250€ par an de formation professionnelle, pour les personnes ayant un CA non nul sur les 12 derniers mois et qui sont à jour dans leurs cotisations auto-entrepreneurs afin de maintenir leurs compétences. Ce budget permet également de couvrir les frais pédagogiques et annexes (déplacement, logement...), la garde d'enfant et une compensation pour manque à gagner de CA pendant la durée de la formation pour certaines activités, sous forme de remboursement. La demande doit être effectuée au maximum 10 jours ouvrés avant le début de la formation.

Le Compte de formation professionnel (CPF)

Une personne ayant déjà travaillé en France en tant que salarié, peut mobiliser son CPF sur la plateforme https://www.moncompteformation.gouv.fr/espace-prive/html/#/

Voici la marche à suivre :

Les formations du Wagon Marseille apparaîtront au nom de FAST (raison sociale) en rentrant les données suivantes “concepteur-développeur d’applications web” ou “développeur en intelligence artificielle” et “13006” en code postale dans la barre de recherche.

Prêt étudiant BNP Paribas

Ce partenariat permet à nos apprenants de faire une demande de financement pour tout ou partie de la formation.

Voici les conditions du prêt :

  • Taux : 0,8%

  • Durée: jusqu’à 9 ans

  • Possibilité de différer le remboursement jusqu’à 3 ans

Il est conseillé d'effectuer la demande au maximum 10 jours ouvrés avant le début de la formation.

Je suis une personne en situation de handicap

Notre référent handicap est disponible par mail à pauline.florens@lewagon.org et accompagne toutes les personnes en situation de handicap dans leur démarche pédagogique, administrative et de recherche de financement.

Je n'appartiens à aucune de ces catégories ou j’aimerais obtenir plus de renseignements

Pour toutes questions sur le financement de la formation, il convient d’envoyer un mail à marseille@lewagon.org.

The most acclaimed Data Science Bootcamp and courses

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

Le Wagon has 2164 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, that has opened new doors for them. 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 2164 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 44 cities we run our coding bootcamps in.

Any questions about our program in Nice

If you got here, it means that you have questions about Le Wagon: how to apply, who can join, what you’ll learn… Good! We have the answers.

What are the prerequisites for Le Wagon ?

Data Science bootcamp candidates need basic foundation in programming. You should be comfortable with data types and variables, conditions, loops, functions. In mathematics, a minimum level of Terminale S is required to follow the bootcamp: functions, their derivatives and systems of linear equations must be mastered. Finally, an intermediate level of English is required to follow the course.

Is Le Wagon training certifying?

Our Data Science training delivers a Level 6 Professional Certification (Bac + 3/4 equivalent) "Developer in artificial intelligence" registered with RNCP.

Here are the skill blocks validated by this certification: Block 1: Exploratory and descriptive analysis of the data Block 2: Supervised and Unsupervised Machine Learning Block 3: Recognition of shapes by artificial neural networks Block 4: Development and Project Management in AI

The procedures for obtaining the certification are available here.

How to access Le Wagon Nice and where it is located?

All the information on the Wagon Nice premises, as well as the accessibility conditions, in particular for people with disabilities, are available on this page.

You can also contact us to find out about our reception conditions by sending an email to nice@lewagon.org.

And after Le Wagon ?

At the end of the training, you have all the skills to start as a Data Analyst. Depending on your initial training and your career path, you may also be eligible for Data Engineer or Data Scientist positions at the end of the training. However, if you wish to continue your training, the skills acquired at Wagon Nice allow you to access longer training courses with our partners. You will have the opportunity to discuss this with our educational advisor during the training.

What are the prerequisites for Le Wagon ?

The Data Science course requires some basic knowledge of programming and mathematics.

  • How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, VBA, etc.), you have the right programming prerequisites!
  • How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.
  • English level : An intermediate level of English is required to take the course.
As a person with a disability, can I follow your training?

It is possible for people with disabilities to follow our training courses. However, to check that they are appropriate for your situation, you should contact us directly for a first remote or face-to-face interview. The e-mail of the disability advisor is caroline.bayle@lewagon.org.

In which language are the courses taught?

In Nice, lessons are taught in French. However, the video tutorials, exercises and languages ​​are in English. It is therefore necessary to have a good level of English to apply and to be able to be comfortable throughout the training.

How will my application be evaluated?

We look for one thing above all in applications: motivation. Our 9 week training is intense and demanding and requires a lot. Make sure you explain why you want to join Le Wagon in your application. The more details you give us, the better your chances of being selected for an interview!

Do I need to prepare myself for the interview?

Once your application has been selected, we will schedule a 30-minute interview to get to know you. Come as you Are ! Once again, we will focus on your motivation, but also your team spirit. Since you will often be working with other people during the training, this criterion is very important to us!

How to apply for the training?

To apply for the training, you simply need to complete and submit the application form - it will take you a few minutes. We will then schedule an interview (remote or face-to-face one) to understand your objectives in more detail.

You will then have to complete a technical test to test your motivation!

For more questions & answers, you can visit our FAQ section! If you would like to discuss with Le Wagon team, don't hesitate to contact us.

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Want to go further?

Next Nice Data Science course (full-time coding bootcamp) starts on Feb 14, 2022

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