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Data Science Certification

Train in Data and obtain your state-recognised "Data Science Designer-Developer" certificate

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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 is 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 field of data.

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:
  • The Data Essentials course validates the 5-year Block 6: Data Management Project Management
  • The Data Fullstack training course validates the entire certification (the 6 blocks) "Data Science Designer - Developer" valid for life
  • The Data Lead training course validates Block 1, which is valid for 5 years: Building and feeding a data management infrastructure
  • The Cybersecurity Essentials course validates the 5-year Block 1: Building and powering a data management infrastructure
  • General terms of acquisition of the certification: the certification is valid for life. In case of partial validation of the blocks, the validity period of each block of skills is 5 years. The validation of the totality of the 6 blocks of competences is compulsory to obtain the certification. The partial validation of a block is not possible. Candidates who have only validated some of the 6 blocks of competences of the "Data Science Designer and Developer" reference system are given a certificate of competence attesting to the partial validation of the professional certification, and naming the blocks concerned.
The certification is acquired by capitalisation of the blocks of competences and by equivalence. Equivalences to obtain this certification are also possible, the complete list of organisations delivering equivalent training can be found on this page, under the heading "Links with other professional certifications, certifications, or habilitations".

VAE procedure

If a person considers that he/she has the competences described in the blocks below, he/she can ask to go through the VAE procedure (Validation des Acquis par l'Expérience) to obtain the (full or partial) certificate of "Designer-Developer in Data Science" from Jedha. The complete information about this procedure is described on this page.

Block 1 - Building and powering a data management infrastructure

Block 2 - Exploratory, descriptive and inferential data analysis

Block 3 - Predictive analysis of structured data using artificial intelligence

Block 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:
  • 99% certification success rate.

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 salary for the target occupation is €45,230 gross/year or equivalent.

The impact of Jedha on the careers of our learners

Impact of Fullstack training on the career of certified employees

Expected impact
Greater than expected impact
No impact

Did they completely reorient themselves after the training?

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, with 18% stating that this impact was greater than they had expected.

53.6% of these holders stated 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 organisation where the learner currently works (17%)

Objectives of learners at the beginning of the course

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

Our learners: who are they?

Our learners come from a wide range of sectors, levels of study and situations at the beginning of their training

Level of education of learners at the beginning of the course

Professional sectors of learners at the beginning of the training

Status of learners at the beginning of the course

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

At the beginning of the course, the majority of learners are looking for work (26.5%) or are already employed (46.9%). The remaining 20% were students, self-employed and entrepreneurs.

The majority of learners stated that they had already worked in IT or new technologies at the beginning of their training (36%). Marketing and sales is also a dominant sector from which future Data Science Designer and 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, health and logistics in particular.)