FAQ

You choose the format! Training can be face-to-face, distance learning or hybrid. Everything is designed so that you can follow the course from our classroom or from home, as you wish. We have made this choice to optimise your learning during the course.

Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in Data and Artificial Intelligence. This means that on a daily basis they encounter Data Scientists, Data Analysts, Data Engineers or Data Consultantswhich make up their professional network and increase their chances of securing a future position with Artefact or from one of our partners.

The lecturers at Artefact School of Data are senior Data Scientists, Data Analysts and Data Engineers. They all work forArtefactone of the world leaders in data. Thanks to their day-to-day work with Artefact's customers, they are confronted with the real and current issues faced by companies. This proximity to the field means that we can offer training that is rooted in the reality of data projects, built on their experience and the challenges they face every day.

The registration process is very simple: you apply directly for the course of your choice, explaining your motivation and describing your career path. You can also download our full programme and make an appointment with our team.

There are a number of funding solutions available to you: personal funding (in one or more instalments), use of your Personal Training Account (CPF), assistance from Pôle emploi, funding via your company's OPCO if you are in post, Professional Transition Project (PTP), Agefiph, etc. As each professional project and each funding application is unique, we offer you a personalised meeting to answer all your questions and help you through the process. You can also watch a video showing all the financing options available.

A data analyst collects, processes and analyses data to help organisations make informed decisions. They use statistical and IT tools to identify trends, patterns and insights hidden in the raw data. In an increasingly data-driven world, the role of the data analyst is essential in transforming data into clear, actionable information to support decision-making.

The data scientist is responsible for extracting potential and drawing conclusions from a company's databases. In particular, they must implement algorithms to respond to a business problem, which may be: data classification, recommendation, creation of groups, anomaly detection, image, text and audio recognition, automated processes, segmentation, optimisation and forecasting.

All our courses are given in French. However, a good command of English is required to follow the course, as English is the reference language in the data professions. In addition, the course materials are written in English.

No specific academic level is required to enrol in the course. However, you should be comfortable using a computer in any environment. A good understanding of final-year mathematics is also recommended. Certain concepts, such as equations, functions and derivatives, can be useful and are easily accessible with a little revision. Initial experience of programming languages such as Ruby, JavaScript or C++ is an additional advantage, but not essential.

You must be over 18 to take the course. However, there is an exception: if you are 17 at the time of enrolment and turn 18 before the first day of the course, you can still take our course.

Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in the data industry. This means that every day, they meet Data Scientists, Data Analysts, Data Engineers and Data Marketing experts, who make up their team. professional network and increase their chances of securing a future position with Artefact or with a partner.

The tasks of the data analyst include collecting data from different sources, cleaning it and preparing it for analysis. They are also responsible for the statistical analysis of the data, identifying trends and patterns, and presenting the results in a clear and understandable way. In addition, a data analyst often works closely with management teams to understand their data needs and to help guide strategic decision-making.

At the start of their career, data analysts generally earn between €35,000 and €40,000 gross per year. With a few years' experience, the prospects for salary progression broaden rapidly, enabling them to earn between €45,000 and €55,000 gross per year.

The Data Analytics course leads to validation of skills block 01 "Collect, store and make available data from an artificial intelligence project" of the "Develop an artificial intelligence solution" professional qualification. Completion of this block of skills will enable you to validate part of Simplon's RNCP37827* level 6 "Artificial Intelligence Project Manager" qualification.

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*The RNCP37827 certification is made up of 3 blocks of skills:

Block 1: Collect, store and make available data from an artificial intelligence project
Block 2: Integrating artificial intelligence models and services
Block 3: Building an application incorporating an artificial intelligence service
Obtaining the full RNCP37827 certification is therefore based on capitalising on the 3 blocks of skills that make it up.

Each block can be acquired individually. An acquired block is definitive. A certificate of achievement is issued for validation, a strong signal on the job market.

Codes NSF114b, 125g and 326, registered with the RNCP under number 37827 by decision of France Compétences dated 19-07-2023. This certification is also accessible via VAE. Equivalences, gateways, career paths and job opportunities > information available on the France Compétences page

Training in data analytics opens the door to a wide range of careers in data analysis and development. Some of the most common career opportunities include :

Data Analyst
This is the most direct career option after training in data analytics. Data analysts collect, analyse and interpret data to help companies make informed decisions. They can work in a wide range of sectors, including finance, marketing, sales and healthcare.

Business Intelligence (BI) Analyst
These professionals use data to produce dashboards, analyse performance and help companies make strategic decisions.

Data Project Manager
This role involves managing data projects, coordinating technical and business teams, and overseeing the implementation of data-driven solutions within the company.

Other opportunities depending on your background and specialisations
Depending on your experience and areas of interest, there may also be other jobs open to you: Data Project Manager, BI Consultant, Web Analytics Specialist, Data Marketing Analyst, Sales Operations Analyst, Growth Analyst, Digital Marketing Analyst, Data Consultant, or even positions related to cybersecurity and fraud detection.

The Data Scientist collects and prepares data, uses algorithms to analyse and interpret this data, communicates the results to stakeholders, guides strategic decisions using this information and constantly seeks to improve analysis methods.

At the start of their career, a Data Scientist can expect an average salary of around €45,000 a year, with variations between €40,000 and €55,000 depending on the company, sector and location. With a few years' experience, an experienced Data Scientist can generally expect a higher salary of between €60,000 and €75,000 a year.

The Data Science & AI course leads to the validation of skills block 02 "Integrate artificial intelligence models and services" of the professional certification "Develop an artificial intelligence solution". Achieving this block of skills will enable you to validate part of Simplon's RNCP37827* level 6 "Artificial Intelligence Project Manager" certification.

_____________________________

*The RNCP37827 certification is made up of 3 blocks of skills:

Block 1: Collect, store and make available data from an artificial intelligence project
Block 2: Integrating artificial intelligence models and services
Block 3: Building an application incorporating an artificial intelligence service
Obtaining the full RNCP37827 certification is therefore based on capitalising on the 3 blocks of skills that make it up.

Each block can be acquired individually. An acquired block is definitive. A certificate of achievement is issued for validation, a strong signal on the job market.

Codes NSF114b, 125g and 326, registered with the RNCP under number 37827 by decision of France Compétences dated 19-07-2023. This certification is also accessible via VAE. Equivalences, gateways, career paths and job opportunities > information available on the France Compétences page

The most common roles include :

Data Scientist: This role is the direct outlet for those who have trained as Data Scientists. They work in various sectors, such as technology, finance, health and many others.

Machine Learning Specialist: This role focuses on the development and application of machine learning models to solve specific problems.

Data Engineer: They focus on optimising systems for collecting, storing and analysing data.

Business Intelligence Analysts: They use data to help companies make informed decisions.

Data Project Manager: This management role involves managing data teams and overseeing the company's data projects.

A Data Product Manager oversees the development and management of data-driven products within an organisation. They act as a bridge between the technical teams, who analyse and interpret the data, and the non-technical teams, who use this information to make strategic decisions. The Data Product Manager defines the product's vision and strategy, works closely with data scientists and engineers to develop data-based products, and ensures that these products meet users' needs and contribute to achieving the company's objectives.

A Data Product Manager has several key missions. Define the vision and strategy for the data-driven product, based on the needs of the business and the market. Working with data scientists, engineers and other stakeholders to develop and optimise the product. Oversee the product lifecycle from conception to launch and beyond. Ensure communication between technical and non-technical teams to ensure a clear understanding of objectives and outcomes. Use data and analysis to inform decisions about the product and to measure its success.

A Data Product Manager can expect an average salary of between €45,000 and €60,000, depending on the sector and the company.

The most common roles include :

Data Product Manager: This role is the most direct outlet for those who have undergone specific training. Data Product Managers can work in a variety of industries where data plays a key role in product creation.

Data Project Manager: This management position involves managing data teams and overseeing the company's data projects.

Head of Data Science: This role requires a good knowledge of data-driven products, as well as the ability to manage a team of data scientists.

Head of Data Analysis: This role focuses on using data to inform the company's strategic decisions.

Chief Data Strategist: This executive position oversees how data is used across the business to achieve strategic objectives.

A Data Engineer is a data expert that creates and manages systems for collecting, storing and processing large quantities of data. They guarantee access to high-quality data for data scientists and other decision-makers within the company.

The tasks of a Data Engineer include designing and building data infrastructures, managing and optimising database systems, ensuring data quality, and creating data pipelines to support data analysis and business decision-making.

A Data Engineer's salary depends on his or her level of experience. At the start of their career, a Junior Data Engineer can expect a salary of at least €40,000 gross per year. With more experience, a Senior Data Engineer can achieve a salary of at least €55,000 in Paris.

The most common roles include :

Data Engineer: the direct route after training in Data Engineering, where you design and manage data infrastructures for a company.

Data architect: this role involves the planning and design of enterprise-wide data architectures.

Big Data engineer: this job focuses on managing very large quantities of data, often using tools and technologies specific to Big Data.

Machine Learning Engineer: this role involves creating data infrastructures to feed machine learning models.

Data Project Manager: this management role involves overseeing data projects and managing data teams within a company.

Our students come from a wide range of backgrounds. Aged between 18 and 55, they share the same curiosity and enthusiasm for code, artificial intelligence and data. They include students, graduates of engineering and business schools, researchers, teachers, journalists and many others. Whether you already have technical skills or not, you can apply for our courses.

Our community of over 5,000 alumni brings together former students of Artefact School of Data. You will be invited to join as soon as you start your training. The programme includes professional opportunities, networking and events (afterworks, trade fairs, Data Challenges, etc.). At the same time, monthly activities are organised to strengthen cohesion between students and alumni.

Artefact School of Data is committed to welcoming people with disabilities without discrimination.

We firmly believe that equal opportunities go beyond the simple recruitment process. That's why we offer every candidate the opportunity to tell us about their specific disability-related needs, so that we can adapt our training programme wherever possible. Our aim is to quickly identify the adjustments needed to ensure flexible teaching while maintaining a high level of training excellence.

In concrete terms, these adaptations can include, for example, an increase in the time allocated to assessments, with the possibility of benefiting from a third time during examinations. Classrooms are accessible to people with reduced mobility. Individual assistance can also be provided if required. Finally, thanks to the entirely online nature of our courses, candidates who are unable to travel can follow the courses under the same conditions as their fellow students.

However, adapting the training programme may take some time. That's why it's important to start this process as soon as you apply, so that we can offer a personalised solution tailored to each individual situation.

If you have any questions, please contact us at schoolofdata@artefact.com