Liora

I completed the Data Engineering program at DataScientest, and it was a truly valuable learning experience. The curriculum combines in-depth theoretical masterclasses with practical, industry-inspired projects designed around real-world business scenarios. Coming from an 11-year background in .NET software development, this program helped me successfully transition into Data Engineering while expanding my expertise in modern data technologies and data pipeline development.One aspect I especially appreciated was the outstanding support provided by the Program Managers. They were always responsive, understanding, and willing to help whenever I faced scheduling challenges or needed guidance. The program is intensive, but the team genuinely works with students to find solutions when personal circumstances require extensions or adjustments.Another strength of the program is its well-structured assessment process. Every module includes a professional assignment that must be successfully completed before progressing. Passing all required assignments is an important step toward earning the certification associated with the program and the university certificate. If you don't pass an assignment on the first attempt, you have multiple opportunities to try again. If additional support is needed, the Program Managers arrange extra sessions with mentors who explain the concepts in more detail and guide you through the areas where you are struggling. This level of support gave me confidence that the goal was not simply to evaluate students but to help them succeed.The career support is equally impressive. After completing the academic requirements, the Career Services team helps refine your CV, improve your LinkedIn profile, prepare for interviews, and provides guidance throughout the job search process. Their encouragement and practical advice make a real difference when transitioning into the job market.The hands-on projects gave me practical experience with Python, SQL, Apache Airflow, Docker, Apache Spark, ETL/ELT pipelines, workflow orchestration, automation, monitoring, cloud technologies, and deployment. Throughout the program, the mentors played a significant role by providing technical guidance, answering questions, and ensuring that students received support at every stage of their learning journey.Overall, I highly recommend DataScientest to anyone looking to transition into Data Engineering or strengthen their technical skills. The combination of high-quality teaching, practical projects, dedicated mentors, exceptional Program Managers, and comprehensive career support creates an environment where motivated students have every opportunity to succeed. If you are willing to put in the effort, you will find excellent learning resources and a team that is genuinely invested in your success. Read less

The DataScientest Bootcamp was very well designed — clear in structure, focused on real-world applications, and full of practical exercises. Each topic built naturally on the previous one, from Python to Machine Learning and deployment. The instructors were supportive and always ready to explain things in detail. The career service was also a great help, especially when it came to refining my CV and preparing for interviews.  Read less

With over 20 years of experience leading projects and processes, I joined a Data Analytics program. While I’m not switching from business to tech, I see data skills as essential for today’s professionals — especially with the pace of change driven by technology and AI. And I want to stay ready for what’s next in the market.

I’m really glad I chose DataScientest. Balancing work, family, languages - and now data - learning is challenging, and their flexible format makes it easily manageable. DataScientest's modern and complete platform offers clear, engaging lessons, and the combination of hands-on projects with real business tools is helping me grow — feeding both my curiosity and long-term learning mindset. Read less

As an experienced Database Developer with over 15 years of experience, I can honestly recommend the DataScientest.com institution in Paris.As a first step, you must take an entrance examination. This makes sense because to become a data scientist, you should have certain basic knowledge, like coding, statistics, and linear algebra. It’s a valuable pre-evaluation.The continued evaluation is organized in notebooks and an ongoing project. After acquiring basic data science knowledge, the project starts.By and large, the notebooks are pedagogically well-designed. You can see that not only IT nerds like me are working there, but also people with general pedagogical knowledge who put themselves in the trainee's mind.If you have questions, you have various options. You can chat with an expert, write questions in the forum, and on a regular basis, there are group sessions where you can bring up your questions. The exams can sometimes be difficult, but if you work hard, you can pass them. If you are struggling and have problems, people will always help you. But don’t be mistaken, you won’t get gifts! You have to show that you understand the material. An institution like DataScientist.com is always interested in maintaining a good reputation and producing good graduates. But don’t be afraid, the instructors are very nice, competent, and ready to help you whenever you need it.Yes, they do sometimes make small mistakes like typos, but they have no problem admitting and correcting them. They are only human beings. And yes, it is a bit expensive, but take into account that high-quality education has its price. It’s only fair.Hence, if you are interested in knowledge and technology and are a hard-working person, I can only recommend DataScientist.com. You will never walk alone and will gain a lot! Read less

I really enjoyed the course material and the fact that everything was remote. Well I haven’t finished the MLOps part yet. The data science part was very interesting. And even though I did another in person data science bootcamp at SPICED before, I still learned quite a few more things. Teachers have been good and friendly. I just never really give a 5/5 or 10/10. Read less

I'm delighted to share my experience with this bootcamp! After completing my bachelor's degree, I was searching for a way to work with computers and data input. This bootcamp was the perfect fit! The team was incredibly supportive and motivating, and the instructors were always there to help during my weaker moments. Their encouraging words and useful tips boosted my confidence, and I enjoyed every class section thoroughly. I wish it could have continued forever because the energy and enthusiasm were outstanding. I learned a lot and truly enjoyed the whole experience. Highly recommended! Read less

Excellent organisme de formation pour les métiers de la Data.
Cours très bien fait, et on est rapidement challengé grâce à des examens après chaque cours, et certifications que l'on peut afficher sur son profil Linkedin par la suite !
Je recommande les yeux fermés. Read less

j'ai suivi une formation de data-engineer chez dataScientest, en clair, la formation est structurée et un mélange entre projet, théorie et pratique, les examens ne sont pas forcement des QCM, mais des exercices à faire dans un laps de temps.
la formation est assez chargée et d'un niveau excellent
je la recommande pour les personnes qui veulent s'orienter vers la data ( elle donnera les pratiques et les connaissances adéquates) ou les personnes qui veulent se perfectionner dans le domaine de data ( machine learning, automatisation) Read less

J’ai fait la formation DataScientist en Bootcamp. Venant du monde médical sans aucune connaissance en programmation, cette formation et ce format m’ont permis en 3 mois d’acquérir les connaissances pour être datascientist.Les cours et les examens sont d’un haut niveau et ne s’obtiennent pas facilement, ce qui est preuve du sérieux de Datascientest dans la délivrance des certifications et diplômes.En plus des cours s’ajoute un accompagnement à rentrer professionnellement dans le monde de la Data, permettant ainsi une véritable reconversion professionnelle.  Read less

Une formation de très haute qualité. Une équipe très professionnelle, à l'écoute et soucieuse de la réussite des étudiants aussi bien pendant qu'après la formation.
Grâce à cette formation et à DataScientest, je suis une datascientiste accomplie et confiante pour mon avenir professionnel. Read less

Vue de l'extérieur on pourrait émettre des doutes quant à l'efficacité de l'enseignement à distance pour des disciplines plutôt pratiques. Au bout du compte, on se rend compte que le matériel est "self-contained", très pédagogique et surtout actualisé. Datascientest m'a permis d'avoir la main sur les entrées et sorties de la Data Engineering, partant de zéro à un niveau opérationnel. La seule surprise c'est la cadence plutôt intense de l'enchaînement des enseignements. En gros, le contenu de la formation et les animateurs méritent bien un 5/5. Read less

Une formation d'une très bonne qualité. Entièrement en foad formation ouverte à distance. Mais tout est prévu pour créer un lien entre apprenant et enseignant. Des aides carrière et des webinar optionnel de très grandes qualités sont régulièrement proposés. Amateurs de Data de statistiques et d'innovation allez discuter avec les ambassadeur et conseiller en formation pour une orientation optimale.  Read less

J'ai fait la formation Data Analyste en formation continue (6 mois) et ça a dépassé mes attentes. Le format d'apprentissage par sprint est très efficient et permet d'explorer plein de sujets. j'ai pris beaucoup de plaisir à apprendre. Je me sers des connaissance que j'ai acquises au quotidien. j'ai tellement aimé que je vais renouveller l'experience avec un nouveau module de formation de 6 mois Read less

En tant qu'alumni Data Analyst de DataScientest sur la session en remote de janvier 2022, j'ai beaucoup apprécié leur cursus pédagogique. 
J'ai été particulièrement satisfaite de l'encadrement au quotidien : via un chef de cohorte pour toute question sur le cursus, via un pôle de Data Scientists dédié et disponible tous les jours concernant les questions pédagogiques et les examens, via un mentor de projet pour encadrer la bonne réalisation du projet fil rouge, la cohésion d'équipe et la montée en compétences sur la technique, et via le pôle Career Management qui est très professionnel et qui permet de réaliser des outils de qualité : CV, profil LinledIn optimisé, coaching individuel, accompagnement à l'emploi, organisation de jobdatings...
Par ailleurs, j'ai tout de même pu travailler en autonomie et progresser à mon rythme en respectant mes impératifs personnels.
A noter que le niveau est relativement élevé afin de répondre aux impératifs des entreprises partenaires au travers de use cases métiers, et par conséquent un niveau intermédiaire est préférable en développement informatique, stats et probabilités.
Une forte motivation et un fort investissement personnel sont également requis afin de réussir la formation. 
Je recommande la formation de DataScientest à toute personne désireuse de se perfectionner rapidement et efficacement en Data Science. Read less

While studying on these pseudo-courses, you are not offered a study, but a "how to Google " .
They offer training in English, but:
1- The material placed in their modules is not fully translated, sometimes it is completely missing
2- The "teachers", if you can call them that, do not speak verbal English well, that is, it is almost impossible to understand them

When you ask to review your task solutions, they pretend not to notice you
When you make a comment to them, they simply write that you are excluded.
Raphaël Kassel non profi. 
For example: when I ask on forum about mistakes inside module, he said literally " if you put as much effort into studying as pointing out these little mistakes, I’m sure the ex*am will be just fine !" 
On Masterclasses they show only how to google errors on stackoverflow.com. Wow ) and then if you make a polite remark to them: "we explain to them how to solve their errors independently so that they are not dependent on us / the platform." . But, guys, I'm here to study and I've paid for it, not for googling Afterwards, they send you a mail that you are excluded.
My advice is not to cooperate with this company if you respect yourself Read less

 DataScientest est une expérience d'apprentissage phénoménale du début à la fin. La plateforme est un outil de qualité et le contenu de très haut niveau. Toutes les thématiques sont expliquées avec clarté et avec des mises en situations en cohérence avec la réalité de l’entreprise. Je conseille sans hésitations !  Read less

As a Medical Doctor with 20 years of experience in healthcare, I enrolled in the part-time Data Scientist program at Liora to transition into AI and data-driven healthcare.The program stands out for its structured curriculum, high-quality live sessions, and strong focus on practical learning. It has allowed me to quickly develop skills in Python, machine learning, and applied data analysis.Alongside the program, I have been working on my own healthcare AI projects, further reinforcing my learning.I would highly recommend this program to professionals aiming to bridge domain expertise with data science. Read less