Data Science Certification

Train in Data and obtain your state-approved RNCP-registered Data Science Designer-Developer certificate.

Jedha bootcamp alumni

Data Science has become in recent years an indispensable element for companies to innovate and differentiate themselves and Artificial Intelligence an indispensable performance tool. Management in all sectors are already using these latest innovations. This trend is set to increase exponentially over the next few years. The objective of creating the "Data Science Designer and Developer" qualification is to train data science specialists with the ability to have a global vision of data science projects, capable of designing and managing them as a whole, as well as intervening at a specific point in them.

Indeed, the certification gives the candidate the skills to exercise the profession of "Data Science Designer - Developer", both technical and transverse. All of these skills, described in the reference framework, enable him/her to create robust and adapted data management infrastructures, to feed them, to develop artificial intelligence algorithms, to put them into production, but also to collaborate with the various business teams of an organisation to evaluate and adapt the Data needs. It is therefore possible to lead data management projects from start to finish, to report on them, to make proposals and to adapt them to the needs of the professional environment.

The certified candidate will have acquired all the skills required to work and be operational quickly.

The "Data Science Designer-Developer" is both :

  • A technician: can create robust data management infrastructures, develop artificial intelligence algorithms and put them into production.
  • A manager: he or she collaborates with business teams, evaluates and adapts data needs according to the organisation and its core business. He/she thus leads end-to-end data management projects.

It's everywhere:

  • Various exercise frameworks: employee in specialised companies, for organisations using AI, as a freelancer, member of a Data team, Data referent of a structure, manager, company director, trainer
  • Its analytical work forms the basis for the development of general strategies: it is indispensable in most professional sectors, health, finance, research & development, administration, logistics, security, etc.
  • Different technical and managerial functions in the data field.

The life cycle of a Data project

The "Data Science Designer - Developer" certificate is divided into the following 6 blocks. Each of the Jedha courses validates different blocks:

  • Data Essentials training validates Block 6, valid for 5 years: Data management project management.
  • The Data Fullstack training course validates the entire "Data Science Designer - Developer" certification (all 6 blocks), which is valid for life.
  • The Data Lead training course validates Block 1, which is valid for 5 years: Building and feeding a data management infrastructure

General terms and conditions for acquiring certification

Certification is valid for life. In the event of partial validation of blocks, each block of skills remains valid for 5 years. Validation of all 6 skill blocks is mandatory to obtain certification. Partial validation of a block is not possible. Candidates who have validated only some of the 6 blocks of skills in the "Data Science Designer Developer" reference system will be issued with a skills certificate attesting to partial validation of the professional certification, and naming the blocks concerned.

Certification is acquired by capitalization of the blocks of skills and by equivalence. Equivalences to obtain this certification are also possible, the full list of organizations delivering equivalent training can be found on this page, under the heading "Links with other professional certifications, certifications, or habilitations".

VAE procedure

In the event that a person feels they have the skills described in the blocks below, they can apply to go through the VAE (Validation des Acquis par l'Expérience) procedure to obtain the (full or partial) Jedha "Data Science Designer-Developer" certificate. Full details of this procedure are given on this page.

Block 1 - Building and supplying a data management infrastructure

Block 2 - Exploratory, descriptive and inferential data analysis

Block n°3 - Predictive analysis of structured data using artificial intelligence

Block n°4 - Predictive analysis of unstructured data using artificial intelligence

Block n°5 - Industrialization of a machine learning algorithm and automation of decision processes

Block 6 - Data management project management

Success rate

The pass rate for the "Data Science Designer-Developer" certification is calculated on the basis of students attending their certification session. We distinguish between the overall pass rate, which includes candidates who have partially passed the certification, and the total pass rate, which only includes candidates who have passed all the certification blocks:

Overall success rate 2022
Total success rate 2022

Professional integration rate

The overall labour market integration rates of the "Data Science Designer-Developer" graduates are as follows for integration at 6 months, 1 year and 2 years:

  • 71%, of which 58% in the intended occupation 6 months after graduation
  • 83%, of which 63% in the intended occupation 1 year after graduation
  • 95%, of which 84% in the intended occupation 2 years after graduation

The average entry-level salary is €45,230 gross / year or equivalent.

The impact of Jedha on our learners' careers

The impact of Fullstack training on the careers of graduates

Expected impact
Greater impact than expected
No impact

Did they change direction completely after the course?


The majority of Jedha's "Data Science Designer Developer" holders (55%) stated that the training had already had a direct impact on their professional career; 18% of them declaring that this impact was greater than they had expected.

53.6% of these holders said that the "Data Science Designer Developer" training and certification had enabled them to make a complete career change.

The majority of learners (78%) start the training with the objective of finding a job in data.

Other objectives are also cited: going freelance (16%), setting up a company (12%), moving up internally in the organization where the learner currently works (17%).

Learners' objectives at the start of training

Find a job in Data
Going freelance
Internal career development
Setting up a Tech business

Our learners: who are they?

Our trainees come from a wide variety of sectors, educational backgrounds and situations at the start of their training.

Learners' level of education at start of training

Learners' professional sectors at the start of training

Learner status at the start of training

The vast majority of learners already hold a Master's degree (Bac + 4 to 6: 71.7%). Of the remainder, 13.3% have doctorates (Bac + 8) and 13.3% have a Bac + 3 or lower.

At the start of their training, the majority of learners are looking for work (26.5%) or are already employed (46.9%). The remaining 20% are students, self-employed or entrepreneurs.

The majority of learners stated that they had already worked in IT or new technologies at the start of their training (36%). Marketing and sales is also a preponderant sector from which future "Data Science Designer Developer" graduates come (22%). The remaining 42% of learners, however, come from increasingly diverse fields that are already very open to the practice of Data Science, but whose needs are still growing: finance, administration, research, healthcare and logistics in particular.)