Data Fullstack

Data Scientist training - 420h

Choose an excellent training, registered with the RNCP and recognized by the State, to learn Data Science. Get your certification in 420 hours and land your first job as a Data Scientist.

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Build your future in data

Become a Data Professional

Make Your Career Goals a Reality

Whether you want to found your own Data start-up, get a job in Data (Data Analyst, Data Scientist etc.), or start freelancing - the Full Stack programme teaches you the skills you will need to succeed and achieve your aspirations.

Practical Instruction in All Aspects of Data

From data extraction and collection to the production of your models and the deployment of your  applications - you will have completed no less than 11 projects during your course. Cover all the relevant Data Science, Data Analysis, Data Engineering areas.

A Programme That Adapts to Your Pace

Our training is delivered on a Part-time or Full-time basis depending on what works best for you. You will also have the ability to come and follow the training in person, remotely or hybrid, depending on what suits you best.

Become a Data Scientist in 3 months

Artificial Intelligence models are constantly evolving. Choose a state-of-the-art training, constantly updated. Very professional, our training will give you the skills sought after in companies.

At the end of your Data Science Fullstack training at Jedha, you will be able to:
- Collect and store large amounts of data
- Build prediction models in Machine Learning and Deep Learning
- Deploy your models in real conditions

View the Syllabus
Jedha bootcamp data fullstack programme

The curriculum of our Data Scientist training

We start with Python and Data Analysis so that you can progress effectively in your learning. You will learn how to use Data Science libraries such as Pandas and Numpy for Data Analysis or Matplotlib and Plotly for Data Visualisation. We will also look at the fundamental concepts behind statistics and probabilities so that you can conduct advanced analyses. Finally, you will learn how to collaborate and manage Data projects using Git and GitHub.
Management is a crucial element in a data project. This is 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. Followed by Storing data in different types of databases (SQL or NoSQL) and then how to build your first ETL processes . We will finish the module by learning how to manage Big Data with Spark, the most common framework for managing large volumes of data. To top it all off, you will learn how to do all this on AWS, the most widely used enterprise cloud platform.
The powerful data exploitation phase. You will start with Supervised Machine Learning where you will learn how to build and evaluate complex statistical models. This will be followed by Unsupervised Learning for segmentation analyses. You'll 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-based applications. 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 standardise your environment. This module will teach you a more Data Engineer style discipline of managing a Data project.
Your programme 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: How to best submit your CV and portfolio. Then, during two weeks, you will prepare your final project with a broad theme often proposed by our partners. You will present it during your Demo Day to the community, and also to our recruiting partners. Finish strong and be proud of what you've achieved!
Python and Exploratory Data Analysis
Modules 1 & 2
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Big Data, Data Collection and Management
Module 3
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Machine Learning and Deep Learning
Modules 4 to 6
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Deploy Your Application
Module 7
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Career coaching and Data project
Modules 8 & 10
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Download the Complete Syllabus
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Our next training sessions

Take your training remotely or at one of our 7 campuses in Paris, Lyon, Lille, Marseille, Bordeaux, Toulouse or Nantes.

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Oops! No bootcamp is planned in Paris soon, contact us for more information.
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18
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available places
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27
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12
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6
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Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
9
available places
Only 2 places left!
Last place available !
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Full Time
18
Sep
11
Dec
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
Only 2 places left!
Last place available !
Apply
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Full Time
27
Mar
26
Jun
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
5
available places
Only 2 places left!
Last place available !
Apply
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Full Time
12
Jun
6
Sep
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
9
available places
Only 2 places left!
Last place available !
Apply
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Full Time
18
Sep
11
Dec
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
Only 2 places left!
Last place available !
Apply

How to apply for our Data Science training?

Nothing could be easier! Make an appointment with our team to refine your professional project. Depending on the course you choose and the necessary financing, your registration will take between 1 week and 1 month.
Professor Jedha in his classroom

Discuss your career plans with our admissions team.

We will recommend the most suitable training and course format.

Take a quick MCQ to evaluate your level in programming and mathematics.

Make your project a reality with the help of our team. Searching for financing, putting together the file: we accompany you from A to Z.

Download the Full Syllabus

"There is a growing demand for cross-discipline skills".

It is no longer just Data Scientists who know how to model, or Data Analysts who know how to explore data that recruiters are looking for. They are looking for professionals with cross-discipline skills. Data Scientists who know how to put data into production and Data Analysts who know how to collect and exploit data in detail.

New jobs are emerging, such as Machine Learning Engineer, or MLOps. These are jobs that have emerged only recently and that reflect the changing needs of companies. This is why in the Full Stack training, we do not train for a specific job, but rather for a field. Jobs in tech are always changing but at Jedha we teach you the principles that govern the domain itself to well equip you for the future.

The Full Stack course, like the rest of our programmes, undergoes constant revision to ensure that it is at the cutting edge of relevance at all times.

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The training adapted to your profile

We've been fortunate to assist many students in their professional retraining, major career evolution, transitions to high quality freelance work or even founding start-ups! Our multi-level course structure and friendly team makes adaptable training highly popular.

I am a PhD holder, and would like to learn a more technical background...

Succeed in your transition to Data Scientist

"Three months of training to change your life and transform your career" - that's the bet our past students took with Jedha, and it worked! We love hearing the success stories from our graduates. It helps to keep us inspired to be continually improving and sharpening our training experience. We love changing lives!

Moving from a very academic world to a very practical world has opened up a lot of opportunities for me.

Anastasia Barkova - From PhD. Biologist to Data Scientist @ Whitelab Genomics

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Before I started my Data training, I couldn't program! It was great to learn how to manage a project from start to finish.

Corentin Corcelette - From Economist to Data Consultant Engineer @ Talan

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My background with very little to do with Tech intrigued the recruiters: I got my job as a Data Scientist the day of my Demoday!

Hayet Bezzeghoud -
From Business Developer to Data Scientist @ Dataiku

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I was able to do my final project on music generation, these projects taught us to apply all the technologies we were learning.

Vincent Gargasson- From Sales Manager to Data Scientist @ Aqsone, (ex-Airbnb)

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The opportunities of our Data Scientist training

Our ambition to train students in domain expertise as opposed to a specific profession opens up to a wide range of different job opportunities upon completion of the Full Stack course.

Some of the roles you'll be qualified for are: Data Scientist, Machine Learning Engineer, Senior Data Analyst and more!  Many of these types of positions are able to be carried out as a freelancer which we find a lot of our students enjoy. We're also very proud of the large number of entrepreneurs who take our training wanting to implement an AI layer in their tech project. 

The possibilities are endless and at Jedha we equip you to shape your own path, with the full support of our career coaches, teachers and pedagogical team.

Apply for the Course
data scientist career

Data Scientist

Become the darling of recruiters, by evolving into a Data Scientist Fullstack. Not only will you be able to develop state-of-the-art AI models, but you will also be able to deploy them in the Cloud thanks to your initial skills in Data Engineering. Whether in-house or external (Consulting).

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Machine Learning Engineer

One of the newest jobs to emerge in the last year is the Machine Learning Engineer.
The latter must have advanced knowledge of modelling to be able to deploy all these models on the Cloud, making them accessible to all, and to make the work of the Data Scientist profitable.

Senior Data Analyst

A Data Analyst who knows how to model in Python and who has mastered the tools of Data Collection, is a Data Analyst that every recruiter would like to hear from!
You will be able to create comprehensive reporting tools to guide business decisions.

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Launch Your Business

After your training, you will be able to begin freelance activity with companies. Companies are looking for talent that can help them gain insight into their technologies or develop their data projects. Build your network with Jedha and even start your own tech company!

So Much More Than Just a Course: a Life Transformation

In the Tech world, everyone can have their own aspirations, their own ideals of work, companies and life goals. It is exactly these objectives that we try to fulfil together, so that your training is not simply a return to school, but really a major next step in your professional career.

We are very proud to see each month people leave our training courses with a professional project that is impactful, that suits them and in which they feel fulfilment.

We dedicate a large part of our pedagogy to support: whether it is career or purely motivational, our career coaches, staff and teachers, want to provide the best Data training possible.

By joining Jedha you also become part of a community of over 1500 people who are passionate about tech and bettering themselves. We'd love you to join us!

Learn More About Our Training Courses

Data Scientist Training CPF

Certification of the Data Fullstack training
RNCP Level 6 - Bac+3/4

Recognised for their academic and technical excellence, Jedha's Data courses are registered with the Répertoire National des Compétences Professionnels (RNCP level 6).

The Data Fullstack training in particular allows you to obtain a state-recognised diploma, at BAC +3/4 level. This registration with the RNCP also allows you to use your CPF credits to finance the training in its entirety or in part.

At the end of your Data Fullstack training, you will take a certification test requiring you to justify the skills learned during your programme: data collection, data visualisation, modelling, application deployment. You will also be asked to present your final project, which took no less than 2 weeks to complete.

Once you have passed this test, you will obtain the official Jedha diploma, recognised by the State, a full certification as "Data Science Designer and Developer".

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Training Costs

Make an Appointment
Training fee Schedule
🇫🇷 France
Essentials
1 495 €
Most popular
Fullstack
Most popular
6 995 €
Lead
2 995 €
Essentials
£1,995
Most popular
Fullstack
Most popular
£6,595
Lead
£2,695

How does the Data Scientist training work?

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 our teaching team who will take you step by step through the content. You will be able to ask questions and progress at your own pace. 
12:00
Practice
Apply the concepts you have just explored to simple exercises. This will allow you to see the direct application cases and to grasp the technical mechanisms.
13:30
Challenges
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 explored by companies with very interesting stories such as Doctolib, Payfit or Spendesk.
10:00
12:30
18:30
21:00
Sunday
D
Tuesday
L
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
Tutorial
Revision of the theoretical courses seen the previous week and introduction of the new concepts
Tutorial
Deepening of the courses and practice on exercises and projects
At Home
Recommended review of the lessons seen during the week and further study of the exercises
😴
🏫 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.

Opportunities Are Everywhere

After your Data Full Stack training, launch off into the tech world and get hired in Data. Our past graduates have been able to obtain a number of different positions, in companies of all kinds of sizes and sectors.

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portrait chiara
portrait bonnie naccache
portrait antoine guerrini
portrait augustin lauvencourt
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Learn More About Our Training Courses

Big Data and Machine Learning taught by experts

They are the Jedha Masters! Our content creators and teachers are recognized professionals in the field of Data Sciences. They have a real field expertise in Deep Learning, Machine Learning, on Python, which they will transmit to you during the training.

Charles Tanguy
Charles Tanguy
Lead Instructor
 @
Jedha
Our very own Jedha Master! Charles is our Lead Instructor, having taught at Jedha since the first sessions. A double graduate of ENSAE & HEC, Charles is also the guarantor of the excellence of Jedha's course content.
[...]
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Charles Tanguy
Charles is our Lead Instructor, having taught at Jedha since the beginning. He also participated in the development of the Full Stack 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 modelling.
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Ines Ben Amor
Ines Ben Amor
Data Scientist
 @
Veamly
Inès knows her way around the language very well! With an engineering background, she succeeds perfectly in illustrating technical statements simply without losing the quality of the information.
[...]
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Ines Ben Amor
After completing her engineering studies at the Ecole des Mines de Saint-Étienne, with a double degree at EM Lyon, Inès began her career at Veamly, a company she still works for. There, she created several state-of-the-art Deep Learning algorithms to classify messages, as well as a search engine!
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Mathis Linger
Mathis Linger
Data Scientist
 @
BNP Paribas
Deep Learning? Mathis' speciality! Working at BNP Paribas since 2018, he quickly joined the Data Lab to develop all aspects of Artificial Intelligence projects.
[...]
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Mathis Linger
With a strong interest in statistics, Mathis joined the Toulouse School of Economics before completing a specialised 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.
Read Less
Meet Your Jedha Masters

A Complete Portfolio of 11 Data Projects

For each of the Data assignments you will have to complete, it will be a mini-project to carry out. This will help you build a solid portfolio to justify your skills to your future recruiters. After 10 technical modules, you will have two full weeks with your teacher and TA to build your own final project, the one that will be the flagship of your portfolio and that will allow you to apply everything you have learned in the course, all on a theme of your choice.

One More Episode...
Paris Campus
Produced by Elena, Charles, Clément, Maxime and Zahira, this is a project that was put into production by the company that proposed it to our students! This company, a streaming platform, asked our students to design a system for recommending viewing content. After having made initial visualisations of the time spent viewing content and of user engagement rates, our students adopted the "user engagement" approach.
They chose this in order to recommend the same content to users with common characteristics (preference & consumption habits in particular). With this, it is a very effective project that this group could deliver at the end of 12 weeks of training.
My Music's Mood
Paris Campus
We all know the impact that music can have on our moods. It is precisely on this that Rhita & Stéphane have worked, with the aim of automatically detecting the 'mood', the emotion of a piece of music in order to make recommendations to users of music streaming platforms who wish to feel such a certain emotion when listening to it.
After the various stages of data collection and pre-processing, Stéphane Rhita was able to work with a 2D image of the audio signal frequencies, a Spectrogram. By using the VGG16 neural network, they were able to achieve incredible results in detecting the "mood" of the music!
Deep Chef
Paris Campus
Antoine, Baptiste, Léa, Christopher, and Quentin were able to code an impressive application allowing the recognition of fruits and vegetables. Why? The aim is to suggest personalised recipes based on what you have left in the fridge.
To do this, with training on 10,000 images of the Deep Learning model Yolo v.5, our students were able to detect the fruits and vegetables present in their own photos.
Then, after having built their model, our group was able to design their application on which they deployed this same model. This way, anyone can perfectly use Deep Chef for their daily needs.
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Your questions about Data Scientist training

What are the prerequisites for this course?

What is the typical profile or background of your students?

What career opportunities will be available to me at the end of this course?

What are the real differences between a Data Scientist and Data Analyst position?

What level of expertise is required during the Full Stack training?

What are the objectives of this training?

How long before the start of the session can I register?

Discuss with the admissions team

Is This Data Bootcamp for Me?

You want to launch your career in Tech but you don't know where to start? Contact our friendly admissions team, they'd love to help!

I have some technical background but would like to go further, or I have taken the Essentials

I would like to become autonomous
on professional and complex issues

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

Professor Jedha in his classroom