Data
Essentials
training

50 hours of training to understand & master the fundamental skills of the Data Analyst & Data Scientist.

Data engineeringBootcamp

Why do this training?

Starting from scratch

From thepure analysis of the data to the learning of your first algorithm: carry out your Machine Learning project over 2 sessions and apply all the tools practiced during the training.

Managing a Data Team

During the course you will see the entire data pipeline. You will be able to understand the issues and speak the same language as the Data teams.

An adapted and intensive curriculum

The programme is hyper-practically oriented and built by data professionals. You can follow it full time or part time to fit your training around your schedule.

The Essentials training curriculum

In this first module, you will start with the fundamentals of Data Analysis and Business Intelligence with the use of Data Visualization tools such as Tableau to analyze your database and render your results in a synthetic and relevant way. We will introduce the Data project that you will carry out throughout your session!
SQL is the language you use to manipulate databases. It is an essential tool to master for anyone who wants to get into data analysis. That is why you will practice in depth all types of SQL queries. You will see the different types of databases like MySQL, PostgreSQL or SQL Servers that you will learn to manipulate on Google Cloud Platform .
Who says Data Analysis says statistics! In this module, we will cover the fundamental principles of the field in order to carry out more advanced descriptive analyses . You will also learn Python programming because modern statistical studies are done with this language. You will use the main libraries like Pandas and Numpy.
Nowadays, most of the data in companies comes from the web. This is why it is important that you master the principles of A/B testing. You will learn how to build and compare representative samples for web content optimization. 
Discover this field of Artificial Intelligence, Machine Learning. You will learn how to build classification and regression models in Python and evaluate them to make predictions. At the end of the module, you will be able to build decision trees and even random tree forests to make fine predictions on complex data sets.
You will perform predictive analysis using Machine Learning algorithms in Python. With Data Visualisation tools studied during the course and SQL analyses you wish to do, you will make a final restitution.
Data visualization
Module 1
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SQL & Cloud computing
Modules 2 & 3
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Statistics & Python
Modules 4
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A/B Testing & Web Analytics
Modules 5
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Machine Learning
Modules 6 & 7
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Data Science Project
Module 8
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Download the complete syllabus

Next sessions

Whatever your schedule, you will be able to find a suitable full or part-time training session.

Full time
23
Aug
3
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
4
available places
Only 2 places left!
Last place available !
Apply at
Full time
13
Sep
24
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
5
available places
Only 2 places left!
Last place available !
Apply at
Week Day
14
Sep
4
Nov
Every Tuesday & Thursday | 6.30 pm - 9 pm
Every Tuesday & Thursday | 6.30 pm - 9 pm
5
available places
Only 2 places left!
Last place available !
Apply at
Full time
30
Aug
10
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
4
available places
Only 2 places left!
Last place available !
Apply at
Week End
1
Oct
20
Nov
Every Saturday | 10am - 4pm
Every Saturday | 10am - 4pm
8
available places
Only 2 places left!
Last place available !
Apply at
Full time
23
Aug
3
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
4
available places
Only 2 places left!
Last place available !
Apply at
Full time
30
Aug
10
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
4
available places
Only 2 places left!
Last place available !
Apply at
Full time
13
Sep
24
Sep
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
5
available places
Only 2 places left!
Last place available !
Apply at
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A training in Data,
of many outlets

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

Make an appointment
technical gain
Business Analyst

One of the most sought-after jobs! You will know how to give the right directions to take thanks to your knowledge of the company's sector of activity, and the technical skills you have acquired.

data manager career
Data Manager

The Data Manager is the person in charge of organizing the data of a company. He will understand the needs and make sure that each team has access to the data it needs.

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Data Analyst

The Data Analyst is the person capable of extracting data (often SQL) and analyzing it to present it to decision makers. It is a capital job that is more and more sought after!

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Product Manager Data

Be the bridge between technical and non-technical teams! You will know how to manage AI projects and above all how to guide them towards the best methods and techniques.

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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portrait sebastien soumier
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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
Système de recommandation : comment en créer ?
Project data
Footmatcher : Football player recommendation system
Project data
The applications of Data to finance

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
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
Nous vous proposons des formations Data immersives et quoi de mieux que de finir sa journée avec un talk Data. De nombreux sujets sont couverts par des entreprises qui ont des cas des plus intéressants comme Doctolib, Payfit ou encore Spendesk.
10:00
12:30
18:30
21:00
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
Presential
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.
10:00
16:30
18:00
Sunday
D
Tuesday
M
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
At home
Recommended review of the lessons seen during the week and further study of the exercises
Presential
Revision of the contents seen last week and we attack the new concepts of the day
😴
🏫 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

Adrien Acquistapace
Adrien Acquistapace
Data Manager
@ Ooshot
Adrien has been involved in Data for more than 7 years, and is also passionate about blockchain-related issues
[...]
Read more
Adrien Acquistapace
Adrien has been working in the Data Science sector for 7 years. After studying at ENSAE and HEC, Adrien has held various technical and managerial positions in Data. He was first Market Analyst and then Data Analyst. He then moved on to Data Scientist at Nam.R, where he set up the product strategy. Adrien has been Data Manager for 3 years now: he implements the whole Data strategy at Ooshot.
David Raux
David Raux
Data Analyst
David is a born popularizer, and a great example of a conversion! The specialist of our Essentials program, able to explain advanced technical concepts without losing the quality of the information.
[...]
Read more
David Raux
Because David does not have an initial training in Data! He first obtained 2 masters II in Human Resources, before training in Data with the CNAM applied mathematics course. At the same time, he teaches management, human resources management and then starts teaching more technical skills (programming, database management) in different organizations.
Inès Ben Amor
Inès Ben Amor
Data Scientist
@ Veamly
La patte vulgarisatrice connaît très bien Inès ! D'un parcours ingénieur, elle réussit parfaitement à illustrer des propos techniques simplement sans perdre la qualité de l'information.
[...]
Read more
Inès Ben Amor
Après un parcours ingénieur réalisé à l'Ecole des Mines de Saint-Étienne, avec un double diplôme réalisé à l'EM Lyon, Inès entame sa carrière chez Veamly, entreprise pour laquelle elle travaille toujours. Elle y crée notamment plusieurs algorithmes d'état de l'art en Deep Learning permettant de classifier des messages, ou encore un moteur de recherche !

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
Essentials  
1 295 €
Fullstack
5 595 €
Lead  
1 995 €
Essentials  
1 295 €
Fullstack
5 595 €
Apply at
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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. 40 heures sont-elles suffisantes pour obtenir les bases en Data ?

2. Je n'ai aucune base technique, pourrai-je bien suivre cette formation ?

3. Quel projet Data peut-on réaliser à la fin de cette formation ?

4. La formation Essentials est-elle reconnue d'État ?

5. Les recruteurs reconnaissent-il la formation Data Essentials de Jedha ?

6. La formation est-elle dispensée à distance autant qu'en présentiel ?

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

Ready to start your bootcamp?

I'm just starting
in Data.

I want to get my first skills
in Data Science.

I apply and talk with the admissions team
to ask my questions !

Professor Jedha in his classroom