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
28
Jun
9
Jul
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
2
available places
Only 2 places left!
Last place available !
Apply at
Week Day
6
Jul
26
Aug
Every Tuesday & Thursday | 6.30 pm - 9 pm
Every Tuesday & Thursday | 6.30 pm - 9 pm
6
available places
Only 2 places left!
Last place available !
Apply at
Week End
10
Jul
28
Aug
Every Saturday | 10am - 4pm
Every Saturday | 10am - 4pm
6
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
28
Jun
9
Jul
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
2
available places
Only 2 places left!
Last place available !
Apply at
Week Day
6
Jul
26
Aug
Every Tuesday & Thursday | 6.30 pm - 9 pm
Every Tuesday & Thursday | 6.30 pm - 9 pm
6
available places
Only 2 places left!
Last place available !
Apply at
Week End
10
Jul
28
Aug
Every Saturday | 10am - 4pm
Every Saturday | 10am - 4pm
6
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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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
Footmatcher : Football player recommendation system
Project data
The applications of Data to finance
Project data
Applications of Data to music

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
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
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.

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

With an average score of 4.95/5, Jedha is ranked first in the French data training ranking. Beyond the score, this is a reflection of our desire to provide knowledge in line with the needs of students and companies.

It isa real pride to be able to accompany our students in therealization of their professional projects, to make them autonomous in Data and to see them bring value to the companies in which they work.

Their training has been able to open up new horizons,
whether it is to set up their startup in AI or to launch their career in Data.

jedha campus lyon
4.95/5
#1 France
Overall
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Curriculum
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Job Support
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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