Data Scientist Training
Fullstack

420 hours of training to become a Data Analyst or Data Scientist. Be autonomous in all aspects of a Data project and launch your career.

Certificate "Data Science Developer Designer"

Training registered with the RNCP: possibility of financing via CPF.

Data engineeringBootcamp

Why do this Data Scientist course?

Adapt the program to your own pace

Our training is delivered in part-time and full-time so that you can follow it regardless of your schedule.

Start your career in Data

Whether you want to build your own Data startup or become a Data Analyst or Data Scientist, the Fullstack program will teach you the skills you need to succeed.

Mastering the entire data pipeline

From the extraction and collection of data to the production of your models and the deployment of your Web applications, you will have completed no less than 11 projects during your program.

Fullstack training curriculum

We start with Python and Data Analysis so that you can progress serenely in your learning afterwards. You will learn how to use Data Science libraries like Pandas and Numpy for Data Analysis or Matplotlib and Plotly for Data Visualization. We will also see the fundamental concepts of statistics and probabilities behind so that you can conduct advanced analysis. Finally, you will learn how to collaborate and manage Data projects thanks to Git and GitHub.
Data management is a crucial element in a Data project. That's why we will go directly to the Data Collection and Management module. You will learn how to collect data, especially web data, with the Web Scraping techniques and the Scrapy framework. You will then see how to store data in different types of databases (SQL or NoSQL) and how to build your first ETL processes . We will finish the module by learning how to manage Big Data with Spark, the most famous framework to manage big data. To top it off, you will learn how to do all this on AWS, the most widely used cloud platform in the enterprise.
Let's get into the data exploitation phase. You will start with Supervised Machine Learning where you will learn how to build and evaluate complex statistical models. We will then move on toUnsupervised Learning, for segmentations analysis, and you will finish with the state of the art in Artificial Intelligence: Deep Learning with the Tensorflow 2.0 framework. At the end of this module, you will know how to manage all types of structured or unstructured data.
In this module, you will be able to build extremely robust models, deploy them and use them to create fully AI-basedapplications. We will use Flask to build an API, Dash to design your dashboards, MLflow coupled with AWS SageMaker to deploy your Machine Learning model and Docker to standardize your environment. This module will teach you a more Data Engineer part needed to manage a Data project.
Your program is coming to an end, join the Jedha CV library and its community of Alumni! Time to work on your Personal Branding. Accompanied by our Talent Manager, you will learn the best practices of Linkedin visibility, to highlight your CV, your portfolio. Then, during 2 weeks, you will prepare your final project with a free theme or proposed by our partners. You will present it during your Demo Day to the community, and also to our recruiting partners! The most important project of your program!
Python & Data Analysis
Modules 1 & 2
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Data Collection & Management
Modules 3 & 4
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Machine Learning & Deep Learning
Modules 5 - 7
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Deploy your application
Module 8
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Career & Project Coaching
Modules 9 & 10
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Download the complete syllabus

Next sessions

Take your bootcamp part-time or full-time.
Keep the best training experience: in the framework of the health crisis, all our trainings are delivered remotely.

Full Time
4
Oct
11
Jan
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
1
available places
Plus que 2 places disponibles !
Last place available !
Apply at
Full Time
22
Nov
25
Feb
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
5
available places
Plus que 2 places disponibles !
Last place available !
Apply at
Part-time
10
Jan
4
Jul
Les Lundis - 18h30 - 21h et Samedis 10h - 16h
Les Lundis - 18h30 - 21h et Samedis 10h - 16h
6
available places
Plus que 2 places disponibles !
Last place available !
Apply at
Full Time
20
Sep
14
Dec
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
1
available places
Only 2 places left!
Last place available !
Apply at
Full Time
10
Jan
1
Apr
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
6
available places
Only 2 places left!
Last place available !
Apply at
Full Time
4
Oct
11
Jan
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
1
available places
Plus que 2 places disponibles !
Last place available !
Apply at
Full Time
22
Nov
25
Feb
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
5
available places
Plus que 2 places disponibles !
Last place available !
Apply at
Part-time
10
Jan
4
Jul
Les Lundis - 18h30 - 21h et Samedis 10h - 16h
Les Lundis - 18h30 - 21h et Samedis 10h - 16h
6
available places
Plus que 2 places disponibles !
Last place available !
Apply at
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Data training,
with many opportunities

Entrepreneurs, managers, employees, freelancers, the objective is to build professional opportunities for you.

Make an appointment
data scientist career
Data Scientist

It is a very cross-functional job, the Data Scientist takes part in all stages of the Data Science project, from data collection to analysis, including the storage of this data.

data engineer training with jedha bootcamp
Machine Learning Engineer

You'll be able to create complex Machine Learning models and then put them into production, making them available to your entire organization.

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Develop your AI project

You will have all the skills to develop your tech product. Notice to those who want to add AI in their tech-stack for their project

Where do our alumni work after the training

After our Essentials training, our alumni work as project managers, data analysts, business analysts or consultants in renowned companies. 

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The successes of our students

We are very proud of our student community and follow our alumni throughout their Data career to reach their professionnal goal.

Go to the blog
Project data
Optimiser son Copywriting grâce au Deep Learning
Project data
Système de recommandation : comment en créer ?
Project data
Footmatcher : Football player recommendation system

A typical day of training

10:00
Course Review
We start the day by reviewing the previous day's concepts to make sure everything is in place before we start working on new content.
10:15
Course Content
Let's start the concept of the day with the teaching team who will take you step by step. You will be able to ask all your questions and progress at your own pace. 
12:00
Practice
Apply the concepts you have just seen to simple exercises. This will allow you to see the direct application cases and to grasp the technical mechanisms.
13:30
Projects
Once you have been able to practice the theoretical concepts on simple exercises, it's time for the Data challenges! You will work on more complex Data topics that will allow you to better understand what a Data project is. 
16:00
Office Hours
Two additional hours are allocated each day with the teaching assistants to review concepts or move forward on your project. This is a good opportunity to ask questions and review some of the theoretical concepts. 
18:00
Events
We offer immersive Data training and what better way to end your day than with a Data talk. Many topics are covered by companies that have very interesting cases such as Doctolib, Payfit or Spendesk.
10:00
4:30
6:30
9:00
Sunday
D
Tuesday
M
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
Presential
Revision of the theoretical courses seen the previous week and introduction of the new concepts
At home
Recommended review of the lessons seen during the week and further study of the exercises
Presential
New theoretical concepts are tackled in Data with practice on application cases
Presential
Revision of the theoretical courses seen the previous week and introduction of the new concepts
😴
🏫 Presential - Work in class with your teacher to see the theoretical concepts and work together on the exercises.
🏠 At home - It is advisable to work at home to deepen the lessons and go over the exercises to best prepare for the week.

Une formation enseignée par des experts

Aurélie Mutschler
Aurélie Mutschler
Lead Instructor
@ Jedha
Aurélie est aussi Lead Instructor au sein de Jedha. Aurélie impressionne par ses qualités de pédagogue ! Docteure en physique, elle réussit sa reconversion avec brio, de précieux conseils à vous transmettre !
[...]
Read more
Aurélie Mutschler
Physicienne de formation, Aurélie effectue une thèse en Physique Nucléaire, pour laquelle elle analyse des données collectées auprès d’accélérateurs de particules. Suite à son doctorat, elle se spécialise en Data Science et travaille au sein du Datalab de l’agence web Kernix, du Centre d’Epidémiologie Clinique de l’hôpital Hôtel-Dieu, et du pôle R&D de la start-up Deepki. Elle y développe une application d’efficacité énergétique.
Charles Tanguy
Charles Tanguy
Lead Instructor
@ Jedha
Notre supra Maître Jedha ! Charles est notre Lead Instructor, ayant enseigné chez Jedha depuis les premières sessions. Double diplômé de l'ENSAE & HEC, Charles est aussi la garant de l'excellence des contenus de cours de Jedha !
[...]
Read more
Charles Tanguy
Charles is our Lead Instructor, having taught at Jedha since the beginning. He also participated in the development of the Fullstack curriculum on all the statistical and Machine Learning parts, his specialties! Charles studied statistics at ENSAE before going to HEC. He then worked at PayWithMyBank in San Fransisco and MWM in the music industry as a Data Scientist. His missions? User profile analysis, trend prediction, preference modeling.
Mathis Linger
Mathis Linger
Data Scientist
@ BNP Paribas
Le Deep Learning ? La spécialité de Mathis ! Travaillant depuis 2018 chez BNP Paribas, il y intègre rapidement le Data Lab pour développer tous les pans liés aux projets d'Intelligence Artificielle.
[...]
Read more
Mathis Linger
With a strong interest in statistics, Mathis joined the Toulouse School of Economics before completing a specialized master's degree at ENSAE to consolidate his Data Science skills. He works as a Data Scientist at Tinyclues, offering marketing solutions. In 2018, he joined the banking sector at BNP, to bring his expertise in Machine Learning within the Data Lab.

Training costs

Payment up to 7 times without charge
Possibility of financing via the CPF
Possibility of catching up on courses
Access to our online platform JULIE
Access to our content for life
Career Coaching & Mentoring Sessions
Access to our events for life
See funding opportunities
formation data analyse
Essentials  
1 295 €
formation data scientist
Fullstack
5 595 €
Formation Data Engineering Jedha
Lead  
1 995 €
formation data analyse
Essentials  
1 295 €
formation data scientist
Fullstack
5 595 €
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The most recognized data training

Avec une note moyenne de 4.97/5, Jedha se place en première place au classement des formations Data en France. Au-delà de la note, ceci est le reflet de notre volonté d'apporter un savoir en phase avec les besoins des étudiants et des entreprises.

C'est une vraie fierté de pouvoir accompagner nos étudiants dans la réalisation de leurs projets professionnels, de les rendre autonomes en Data et les voir apporter de la valeur aux entreprises dans lesquelles ils travaillent.

Leur formation a pu les ouvrir à de nouveaux horizons, que ce soit pour monter leur startup dans l'IA ou pour lancer leur carrière dans la Data.

jedha campus lyon
4.97/5
#1 France
Overall
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Curriculum
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Job Support
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Nous répondons à toutes vos questions

1. Quels sont les pré-requis pour intégrer cette formation ?

2. Quel est le profil type de vos élèves ?

3. Quels sont les débouchés professionnels que je pourrai remplir à la fin de cette formation ?

4. A quel niveau expertise est-on amené pendant la formation Fullstack ?

5. Quel accompagnement carrière fournissez-vous aux élèves ?

6. La formation est-elle dispensée en présentiel ou à distance ?

7. Combien de temps avant le début de la session peut-on s'inscrire ?

Is this Data bootcamp for me?

I have Data Science skills
or I have just completed the Essentials training

I would like to become an expert
in the industry and get a job in Data

I make an appointment with the admissions team to find out everything!

Full stack jedha bootcamp