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've 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. This means that every day, they meet Data Scientists, Analysts and Engineers who make up their professional network and increase their chances of securing a future position with Artefact or with a partner.

Your tutors are Data Scientists, Analysts or Senior Engineers by trade. This is very important to us, because they work at the very heart of one of the leaders in Data: Artefact. This means that the tutors are in daily contact with Artefact customers and are responding to real, topical issues in the field. Our training courses are therefore designed around what they experience on a daily basis.

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

You have many funding options: personal funding in one go or in several instalments, your Personal Training Account (CPF), with the help of Pôle emploi, funding via your company's OPCO if you are in post, TPT Transition Professionnel funding, Agefiph, etc. Your professional project and your funding application are unique, which is why we offer you a personalised appointment to answer all your questions. Watch a video to find out about all the financing options available.

A data analyst collects, processes and interprets complex data to help organisations make informed decisions. They use statistical and IT tools to uncover trends, patterns and insights that are hidden in the raw data. In an increasingly data-driven world, the role of the data analyst is crucial in transforming data into actionable information.

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 in French, but you must be fluent in English to follow the course.

We do not require you to have any particular academic level. However, you should be comfortable using your computer (simple use in any environment, mathematics at terminal level, easily accessible by revising certain concepts such as equations, functions and derivatives). What's more, if you're comfortable with languages like Ruby, JavaScript or C++, that's a real plus!

You have to be over 18 to take the course. The only exception: if you are 17 at the time of registration and 18 on the first day of the course, you can take our course.

Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in data. This means that every day they meet Data Scientists, Analysts or Engineers who make up their 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, a Data Analyst can expect an average salary of €42,000 per year, with variations between €35,000 and €50,000 depending on the company and the sector. With three years' experience, an experienced data analyst can generally expect a higher salary, ranging from €60,000 to €70,000 a year.

The course leads to validation of the level 7 skills block "Developing an artificial intelligence solution". Successful completion of this block of skills will enable you to validate part of the RNCP36129 "Artificial Intelligence Project Manager" certification awarded by the Collège de Paris.

This certification is made up of 4 blocks of skills:

• Block 1: Developing an artificial intelligence solution using Design Thinking

• Block 2: Managing an artificial intelligence project

• Block 3: Developing an artificial intelligence solution (Machine and Deep Learning)

• Block 4: Deploying an artificial intelligence solution.

Obtaining the full RNCP36129 certification is therefore based on capitalising on the 4 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.

The most common roles include :

Data Analyst: this is the most direct role for those training as a data analyst, where you could work in a variety of sectors such as finance, marketing, sales or healthcare.

Business Intelligence analysts: these professionals use data to help companies make strategic decisions.

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

Other professions depending on your background : Data Project Manager, BI Consultant, Specialist web analytics, Data Marketing, Cybersecurity, fraud, Sales Ops, Growth, digital marketing, data consultants...

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.

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.

The course leads to validation of the level 7 skills block "Developing an artificial intelligence solution". Successful completion of this block of skills will enable you to validate part of the RNCP36129 "Artificial Intelligence Project Manager" certification awarded by the Collège de Paris.

This certification is made up of 4 blocks of skills:

• Block 1: Developing an artificial intelligence solution using Design Thinking

• Block 2: Managing an artificial intelligence project

• Block 3: Developing an artificial intelligence solution (Machine and Deep Learning)

• Block 4: Deploying an artificial intelligence solution.

Obtaining the full RNCP36129 certification is therefore based on capitalising on the 4 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.

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.

Junior Data Engineers earn between €40,000 and €50,000 a year. Once promoted to Senior, their salary will rise to €50,000 or even more than €60,000 a year.

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 and/or data. They include students, former engineering and business school pupils, researchers, former schoolteachers, journalists, etc. Whether you have technical skills or not, you can apply for our data training courses.

Our community of over 4,000 alumni is made up of former students of Artefact School of Data. You will be invited to join at the start of your course. Also on the programme: business opportunities, networking and events (afterworks, trade fairs, Data Challenges, etc.).

At the same time, activities are organised every month to increase cohesion between learners 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