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Alumni Story: Stanislav strengthens his Data Engineer/Analyst profile with Data Science
PROMO 2026
Stanislav Grinchenko
Read the inspiring story of Stanislav, alumnus of the Data Science & AI training !
What was your background before joining the Data Science & AI course?
My name is Stanislav Grinchenko, I'm a Data Engineer and Data Analyst. I've spent the last 17 years working for a single company, which was evolving from startups to large enterprises.
which had recently been bought by a major corporation. So I went through all the stages from development engineer to support engineer.
For the last 8 years, I've been working as a Data Analyst and Data Engineer. As I was working in a single company with limited tools,
And what's more, I left the company at the end of 2025, so I wanted to refresh my knowledge a bit and above all explore new areas for me, Data Science, an area in which I had no experience at all.
How would you describe your experience at the School of Data?
It's very intense. The first few weeks were easy because we were dealing with things I already knew. So I was relaxed and happy. It was SQL, PowerBI, these were technologies that I worked with every day. And then, poof, we started Python and the Data Science models, these are new things and my head very quickly became overloaded. But for 10 weeks, it's a good load, I think.
What tools did you learn on the course?
When it comes to Machine Learning and Deep Learning models, I learnt almost from scratch. I did a few experiments on my own,
but this allowed me to go through the whole stack of Data Science tools. I have to admit that it went pretty quickly. We had new subjects every day. And I'm aware that if I want to become more experienced in this area, I'll need to go through it all again on my own in my spare time. And for me, personally, the few days we spent on DBT were interesting. Because even though I had experience of Data Engineering, I had DBT as a tool that I'd never used. And it's something that's very much in demand today. It's very valuable. Dataiku too, we had two days, but it was very interesting and I think very useful for me personally.
Can you tell us about a project you completed during the course?
At the moment, me and my team of three other colleagues are working on a project called Mental Health Detector. And why did I propose this project? Because it's linked to my career path. In fact, the field I worked in before was health. I've had and tried to find a future job in the health sector too. So I think it could be interesting, as part of a portfolio or just to get experience of an additional project in the health field. What's more, I'm personally interested in Mental Health. The idea is that, in the end, we'll have a model that predicts signals of depression using textual posts in forums like Reddit. We can use it to analyse posts in chats and emails and take preventive action if necessary.
What would you say to someone considering training at the School of Data?
I'd say go for it. Maybe, at the beginning, try to understand your needs because there are several training courses at Artefact. There are Data Engineer, Data Analyst and Data Scientist courses, which are all different. Then I learnt that Artefact is now offering a new path with artificial intelligence (AI & No-Code)which can also be interesting. It's important at the beginning to understand the goal. And then you go for it!
The School of Data in a nutshell?
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FAQ
Do you have any other questions about Artefact School of Data? We'd love to hear from you.
What is the difference between Artefact School of Data and other courses?
World-renowned learning and a unique educational experience. More than 5,000 students around the world have been trained by our experts atArtefact. You will benefit from immersion training with one of the world leaders in Data & AI, who will share their expertise with you. Every day, you'll learn from real-life cases you've worked on with some of the world's biggest companies.
How do I apply for our courses?
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.
How can I finance my training?
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.
Are the courses face-to-face or distance learning?
We recommend taking the course face-to-face, in order to take full advantage of the learning environment within a leading player in Data and Artificial Intelligence, and to benefit from direct exchanges with the trainers and other participants.
However, for greater flexibility, our courses can also be taken at a distance or in a hybrid format. Every effort is made to ensure that you can participate in the best possible conditions, either from our classroom or from home, depending on your preference. This flexible format has been designed to optimise your learning throughout the course.
Who are the speakers at Artefact School of Data?
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.
Are our training courses Qualiopi certified?
Our training courses are certified "Qualiopi pour l'action de formation".
What support is there to help you find a job?
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 from one of our partners.