FAQ
Take a moment to discuss your training project with an advisor.
Response :
Our catalogue is organised into four families:
- the Mastère Modern Data Engineer (700h): our most complete programme, covering the full data lifecycle from design to industrialisation.
- Bootcamps (310 to 320h) to master a full role: Data Analyst and Data & AI Project Manager.
- Short courses (50 to 200h) to specialise on a specific topic: MLOps, Generative AI.
- Microsoft certification preparation (10 to 24h): AZ-900, DP-900, PL-300, DP-700, AI-102.
Every course can be taken either part-time (12h per week) or intensively (36h per week), depending on the pace you choose at enrolment.
We also offer custom Data/AI training for your corporate teams.
Response :
The difference comes down to length, depth and what you leave with:
- Bootcamps (310 to 320h over 26 to 27 weeks part-time, 9 weeks intensive) are complete professional pathways: they cover a role end to end and are built on blocks from the Mastère Modern Data Engineer, which carry over if you later decide to go further. You leave with a portfolio of capstone projects.
- Short courses (50 to 200h, 4 to 17 weeks part-time) target one specific skill — MLOps, Generative AI — and focus on hands-on practice.
In both cases: live sessions taught by Tech Leads still in role (2 per week part-time, 3 per week intensive), cohorts of 15 learners maximum, and a completion certificate issued by DataScientist.fr.
Response :
Yes.
- At the end of each course, a completion certificate is issued by DataScientist.fr. It attests to your participation and the projects you completed, and can be shared on LinkedIn in one click.
- Our Microsoft certification tracks (AZ-900, DP-900, PL-300, DP-700, AI-102) also prepare you for the official Microsoft exam, whose certification is issued by Microsoft.
DataScientist.fr is a Qualiopi-certified training organisation for training activities.
Response :
Each program is designed to make you job-ready:
- Mastery of key languages and tools (Python, SQL, Docker, Spark, Power BI, etc.).
- Deep understanding of Data and AI roles.
- Delivery of concrete projects close to real business cases.
- Development of your technical autonomy and ability to collaborate with tech and business teams.
Response :
Prerequisites depend on the course you choose:
- Mastère Modern Data Engineer: a Bachelor's degree in computer science or equivalent.
- Data Analyst Bootcamp: no specific degree required. An associate-level education or equivalent professional experience, in any field, plus comfort with a spreadsheet. SQL basics are a plus, not a condition.
- Data & AI Project Manager Bootcamp: a Bachelor's level or equivalent is recommended. Prior experience in project management, IT or data is a plus.
- Short courses and certification preparation: ranging from no prerequisites at all (AZ-900, DP-900) to solid Python skills (MLOps, Generative AI, AI-102).
An orientation interview is always offered to validate together that the path is a good fit.
Response :
All our courses are delivered remotely, accessible from anywhere.
You get interactive live sessions, a modern proprietary LMS, and practical tools (built-in Jupyter Notebooks, pedagogical AI, personalized follow-up).
Response :
A typical week combines:
- Live sessions led by our experts: 2 per week part-time, 3 per week intensive.
- Interactive lessons and pedagogical videos available anytime.
- Hands-on, auto-graded exercises directly in the platform.
- Concrete projects to apply what you learn.
Expect around 12h of work per week part-time, 36h intensive. You progress at your own pace, while being supported by our team.
Response :
Enrollment is simple: fill in the online form on our website. A training advisor will then contact you to validate your goals, review the funding schemes you may be able to use, and finalize your registration.
Response :
Our bootcamps start several times a year and short courses open regularly. Upcoming session dates are updated continuously on our site. If you want help choosing the session and the pace (part-time or intensive) that best fit your schedule, book a call with our team.
Response :
Once the form is submitted, a training advisor contacts you within 24 to 48 business hours. The goal is to validate your enrollment quickly and help you build your funding application without losing time.
Response :
Yes. We offer demo access to our learning platform so you can try the environment, explore a sample course, and discover the support we provide.
Response :
Absolutely. That is exactly what the part-time pace (12h per week) is for — it is designed to fit alongside a full-time job. Courses are available online 24/7 and live sessions are recorded so you can review them at your own pace. The intensive pace (36h per week), on the other hand, is meant for people available full time.
Response :
We know unexpected events happen. If you need to pause, we offer flexible options: catch-up, transfer to a later session, or personalized support so you can finish your path under good conditions.
Response :
If you encounter technical issues while using our platform, please contact our support team at bonjour@datascientist.fr. We will do our best to resolve the issue quickly.
Response :
At DataScientist.fr, you are never alone:
- You get regular follow-up from your instructors. You can contact them anytime from the platform during the course.
- Live sessions in cohorts of 15 learners maximum let you talk directly with instructors and peers.
- You have a built-in AI assistant to answer questions in real time on the platform.
- Our pedagogical team supports your progress, motivation, and success throughout the journey.
Response :
We provide a modern proprietary LMS, built specifically for learning Data and AI careers. You will find:
- A personal dashboard to track your progress,
- Built-in Jupyter notebooks to practice immediately and build projects,
- Auto-graded coding exercises with integrated AI help when you get stuck,
- Auto-graded quizzes to validate your progress,
- Varied materials (videos, slides, learning sheets).
Response :
Yes — practice is at the core of our courses. Each path includes:
- Concrete projects inspired by real business cases.
- Case studies to apply theory to business problems.
- For the Mastère and the bootcamps, capstone projects — one per block — that help you build a portfolio recruiters value.
Response :
Yes — at the end of each course you receive a completion certificate issued by DataScientist.fr, attesting to your participation.
- It is directly shareable on LinkedIn.
- It attests to the projects you completed during your programme.
Response :
Our certificates attest to job-ready skills in demand in Data and AI roles.
- They are recognized by companies that hire our learners.
- Live sessions are taught by Tech Leads still in role, which keeps the content aligned with real market practice.
- Our Microsoft tracks lead to an official vendor certification (AZ-900, DP-900, PL-300, DP-700, AI-102), directly verifiable by a recruiter.
- Beyond the certificate, you showcase practical projects and a portfolio that make a real difference with recruiters.
Response :
We have already supported +8 000 learners, with a 97% completion rate and an average score of 4.9/5. Our courses combine live sessions with practitioners currently working in the field, intensive hands-on practice on the platform and human support, which is what drives that completion level.
Response :
Yes. Our programmes are designed to be directly relevant to the job market.
- For career changers: you build a portfolio of concrete projects that showcases your skills to recruiters.
- For employees: our courses help you upskill quickly and aim for higher-responsibility roles in data and AI.
Response :
Yes — we work with many companies that trust us to train their internal teams. These partnerships also help us stay aligned with real market needs.
👉 Depending on needs, we can connect learners with companies looking for trained data profiles.
Response :
Absolutely! Every course issues an automatically generated completion certificate, shareable on LinkedIn in one click.
For our Microsoft certification tracks, you can also add the official Microsoft certification earned at the exam, which you can highlight on your CV and with recruiters.
Response :
In most cases, your training fees can be fully or partially funded. Depending on your profile (employee, job seeker, freelancer, company), several schemes may be used to reduce your out-of-pocket cost.
Eligibility conditions depend on the scheme, the course and your personal situation, and the final decision rests with the funding body. Our team reviews your case with you before any enrolment.
Response :
We help you identify the funding best suited to your situation, subject to eligibility:
- Employees: funding via your OPCO or your company's skills development plan.
- Job seekers: possible coverage via France Travail (AIF, POEI, POEC).
- Independents & freelancers: funding via FIFPL or AGEFICE depending on your status.
- Companies: partial or full coverage for your teams via mutualized funds.
- Regions: some regional councils offer training grants, which vary by territory.
In all cases, the final decision rests with the funding body.
Response :
It's simple: in a personalized call with our team, we review your situation and tell you which schemes you can apply for. In more than 80% of cases, our learners obtain substantial coverage of their training fees.
Response :
Of course. Our advisors support you end to end:
- Checking your eligibility.
- Building your funding application.
- Administrative follow-up until the funding body's decision.
Our goal: let you focus only on learning, without losing time on paperwork.