Download the syllabus of our training courses
Academic and technical excellence
Learning by doing
Training adapted to your professional and personal constraints
4,98
/5
Best training in France
Discover the detailed program
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Download the syllabus of our training courses
Academic and technical excellence
Learning by doing
Training adapted to your professional and personal constraints
4,98
/5
Best training in France
Discover the detailed program
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
I didn't have a very high level of math, and I wanted to move away from simply manipulating data to building on it. It's been an intensive journey, but my conversion is done!
Vincent Gargasson
-
Lead Data Scientist
@
Aqsone
Thank you for the successful 3 months of Fullstack Data training: after an AI project with a Jedha partner, I got my job in Lille!
Gauthier Lecocq
-
Data Scientist
@
Choreograph
Quality content, very clearly explained by very available teachers, I loved my 3 months at Jedha!
Karin Prabel
-
Data Scientist
@
River Side
+2000
Students who have followed one or
several of our courses
several of our courses
87
%
Of professional integration
within 6 months
within 6 months
4.98
/5
Average rating awarded
by our students
by our students
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.
[...]
Charles Tanguy
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.
[...]
Ines Ben Amor
Laurent Michel-Amadry
CEO
@
Datalo.co
Always ready to listen and available to his students, Laurent brings a great depth of metaphors and illustrations in his explanations to really break down concepts for you: and for good reason, he does not originally come from a technical sector!
[...]
Laurent Michel-Amadry
FAQ
Your questions about training
The salary of a Data Scientist on a sandwich course corresponds to a percentage of the minimum wage (SMIC), between 27% and 100% of the minimum wage. The percentage varies according to the student's age and year of training. In practice, a Data Science work-study student in France can earn between 5,500 and 20,500 euros gross per year.
A work-study program in Data Scientist gives you the opportunity to gain real professional experience, build your first network and get paid throughout your training. It's an excellent way to study at a lower cost, and with as much professionalism as possible!
A Data Scientist must have a solid understanding of mathematics, statistics, and computer science, as well as skills in programming, machine learning, and data visualization.
Data Scientists must also be good communicators, able to present the results of their work to various audiences.
Data Scientists work on more complex problems and use more advanced techniques, while Data Analysts often focus on more specific tasks related to data analysis.
All our courses are taught in French. However, a good command of English is recommended to make full use of the resources on JULIE, our e-learning platform.
Yes, each student must bring their own computer. Requirements include a minimum of 8 GB RAM and 80 GB available storage, although 16 GB RAM and 120 GB storage are preferable for an optimal experience. An Intel i5 processor is required, with an i7 being ideal. For Apple computers, M1, M2 or M3 chips are compatible, but adaptations may be required for certain applications. The operating system must be Linux, Windows or MacOS.
Have a question? Ask our Admissions team!
Apply to
Download the syllabus of our training courses
Academic and technical excellence
Learning by doing
Training adapted to your professional and personal constraints
4,98
/5
Best training in France
Discover the detailed program
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.