Liora

I recently completed the 600-hour Analytics Engineer training funded through the Agentur für Arbeit, and the experience exceeded my expectations. The combination of data analysis and ETL engineering with tools like Python, SQL, dbt, Snowflake and Power BI gave me exactly the practical edge I needed.

A huge thank you to the Program Management team. They were proactive, encouraging, and always ready to find flexible solutions whenever unexpected challenges arose. Their continuous support makes a demanding, intensive program both manageable and deeply rewarding.

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.

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. 

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.

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!

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!

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)

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. 

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.

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. 

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.

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

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.

My name is Ahmed Maala. Before joining Liora, I had a strong background in IT hardware, PC assembly, diagnostics, and software troubleshooting — but I wanted to take that technical mindset into the world of data.I enrolled in Liora's Analytics Engineering program, which is fully funded by the Bundesagentur für Arbeit, and it has been one of the most transformative experiences of my career. The program is genuinely intensive — covering Python, SQL, Power BI, Snowflake, Machine Learning, Looker Studio, Make (Integromat), Git, Web Analytics, and much more. I completed over 30 practical exams and received my official Data Analyst certification, recognized by the Sorbonne School of Economics.What I loved most is that the program forces you to think like a real analyst — not just follow tutorials. The hands-on exam approach pushed me to actually understand the tools rather than just memorize them.My biggest piece of advice for anyone joining Liora: don't wait for the perfect moment — start building your own projects as early as possible. Even if you make mistakes, even if the project isn't perfect — that's where the real learning happens. Personal projects are what separate candidates who just have a certificate from those who can actually do the job.I'm now actively applying for Data Analyst roles in Germany and feel genuinely confident in my skills. Liora gave me that confidence.

I am just over six months into my 11.5-month Data Science training at Liora, and I want to share a quick update on my experience. ​The flexibility of the program is outstanding. It allows me to effectively balance my family, my job, and my education without compromise. Furthermore, the learning materials are straightforward and easy to understand, and the practical exercises are exceptionally well-chosen. The staff is consistently friendly and supportive.​Overall, a big thank you to the Liora team for the ongoing support! I am already looking forward to my next step: pursuing the Machine Learning Ops training at Liora once I complete my current program.​#DataScience #DataScientist #Liora #MLOps #MachineLearning #LifelongLearning

I am Thomas Röder, 27 years old. I came from Chile, South America. I live in Berlin, Germany for the last 3 years!

I have over 5 years experience working as a Localization & Software Engineer for the Translation industry, mostly working on Translation Technologies.

I have decided to do a bootcamp with Liora Institute, Paris, France, taking the full-time Data Engineering course to improve my knowledge and understanding of best Data Practices and Artificial Intelligence landscape that is currently shaping the market.

It was the most wonderful experience ever, extremely flexible and I would recommend to anyone to take a course with Liora institute.

Thanks to Liora, I was able to get a now job for a California, US company in the Al field as a Lead Solutions Engineer for Al development and global markets.

As a seasoned software engineer with many years of experience, I was looking to refresh my IT skills and deepen my knowledge in data-related technologies. I recently completed the Data Engineer program with DataScientest, and it has been a very rewarding experience. The curriculum is well-structured and up to date, striking a good balance between theory and hands-on practice, which allowed me to strengthen my expertise and learn new approaches step by step.The teaching team was always available and supportive, providing quick, insightful answers and guidance whenever I needed it, which really helped me stay engaged. The platform itself is intuitive and user-friendly, making the learning process smooth and efficient.Most importantly, the program has had a significant impact on my professional development: it gave me the opportunity to refresh and expand my skills, gain confidence with modern data engineering tools, and stay relevant in an ever-evolving tech landscape. I would strongly recommend DataScientest to experienced IT professionals who want to broaden their expertise, as well as to those starting their journey in data.

Si tu recherches une formation en alternance de qualité, avec un vrai accompagnement humain et personnalisé, cette école est faite pour toi ! Dès le début, l’équipe se montre ultra réactive, à l’écoute et disponible pour répondre à toutes tes questions, ce qui rend l’expérience vraiment agréable.

Les cours sont dynamiques et adaptés à nos besoins grâce à des modules supplémentaires, offrant ainsi une véritable liberté dans notre apprentissage. Et ce n'est pas tout : les corrections sont rapides, claires et toujours bienveillantes, ce qui permet de progresser dans un environnement positif.

Si tu veux une formation sérieuse, flexible et humaine, n’hésite plus : cette école est exactement ce qu'il te faut !

I am highly dissatisfied with this institute and wish to use my voucher elsewhere. 
The training took around 9 months in my case and was completely online. 
The biggest issue was finding the responsible people in the institute, either through Slack or email. I had to message them on both platforms, then remind them one week and then two weeks later to get a response. However, even after getting a reaction, the problem was not solved. Every time, I had to explain the situation (whether technical or administrative problem) and how far we had progressed. For the following communication about the same situation, I had to explain everything all over again (For The Same Person).

During our project meeting, the person in charge from the institute seemed distracted and was talking to colleagues, making it necessary for me to repeat myself. 

The course costs over 6000 euros, which is quite high. I expected better service and responsibility, but it seems that they are only concerned about receiving payment from the job center.

For those in Germany who wish to participate and whose common language is English, please be aware that some workshops and lectures will be conducted in French. Therefore, always inquire whether the presentation will be in English before taking time off work to participate online, as you may be disappointed in the first minute. Good luck getting an answer.

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I started my Datascience training on November 09, 2023 until February 20, 2024 in Bootcamp format . 
I highly recommend this Datascientest computer school as it offers an enriching and highly qualitative experience in the field of data science and data engineering .  

1/ Personal involvement is necessary ( intensive training: lots of information ) but the school provides us with the tools and support we need to succeed . 

2/ A dedicated space for successful training (before/after): 
- pôle carriere" department (job search assistance - advice - simulated job interviews, etc.) ;   

-training department: problems with training? 

- IT department: forum (bugs, general questions...) 


3/ Training quality : Training courses are of the highest quality, offering a mastery of cutting-edge data science tools and methods. Course content is appreciated for its quality, accessibility and practicality.

4/ Supervision and support: Trainers are present, competent and offer personalized support throughout the training course. 

5/ Concrete, relevant projects: essential assets to prepare learners for the realities of the workplace, enabling them to put their acquired knowledge into practice.


6/ 
The flexibility of the training formats (bootcamp, continuing education) is appreciated, as is the wealth of resources available on the online platform. 

conclusion: 
This has enabled me to acquire the solid skills and reflexes needed to move forward in the constantly evolving field of data science. there are also additional certification opportunities, which reinforces their value on the job market.
I chose the Bootcamp format, but you have to make sacrifices in your daily life to succeed. But at the end of the course, it's worth it. 
I highly recommend this serious school, DATASCIENTEST. 




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J'ai commencé ma formation  Datascience  le 09 novembre 2023 jusqu'au 20 Février 2024 en format Bootcamp . 
Je recommande fortement cette école informatique Datascientest  car elle offre une expérience enrichissante et hautement qualitative dans le domaine de la data science et de l'ingénierie des données .  

1/ L'implication personnelle est nécessaire ( formation intensive : beaucoup d'information )  mais l'école nous fournit des outils et le support nécessaire pour réussir . 

2/ un espace dédié pour la réussité de la formation (avant / après ) : 
- département  "pôle carriere"  aide à la recherche d'emploi  - conseil - simulation d'un entretien d'embauche etc...) ;   

-'département formation : difficulté dans la formation ? 

- département Informatique :  forum ( bugs , questions en générale ..) 


3/ Qualité des formations : Les formations sont de haute qualité, offrant une maîtrise des outils et des méthodes pointus en data science. Les contenus des cours sont appréciés pour leur qualité, leur accessibilité et leur praticité.

4/ Encadrement et accompagnement :Les formateurs sont  présents, compétents et offrant un soutien personnalisé tout au long du parcours de formation. 

5/ Projets concrets et pertinents : des atouts essentiels pour préparer les apprenants à la réalité du travail en entreprise, en leur permettant de mettre en pratique les connaissances acquises.

6/ 
La flexibilité des formats de formation (bootcamp, formation continue) est appréciée, tout comme la richesse des ressources disponibles sur la plateforme en ligne. 

conclusion : 
 Cela m'a permis d'acquérir des compétences solides et des réflexes nécessaires pour évoluer dans le domaine en constante évolution de la data science. il y a aussi des opportunités de certification supplémentaires, ce qui renforce leur valeur sur le marché du travail.
J'ai choisi le format Bootcamp mais il faut se sacrifier dans notre vie quotidienne pour réussir . Mais à la fin de la formation , çela vaut la chandelle . 
Je recommande fortement cette école sérieuse qui est DATASCIENTEST . 

J'étais dans mon process de  reconversion pro , n'ayant pas de connaissance, ni d'expérience en data je doutais de ma réussite. Il nécessite une implication réelle de notre part. Grâce au module de formation, le forum et les Masterclass, on peux réussir.  Un très grande fierté pour moi de finir cette formation de haut niveau et réussir le projet "fil rouge".
DataScientest m'a offert la possibilité de changer de vie et de me reconvertir  dans un métier d'avenir alors que je n'avais aucune notion data au commencement.
J'ai hâte de pouvoir faire d'autre formations à l'avenir avec le centre.

Très bonne expérience pendant mon bootcamp Data Analyst. Ce qui m'a convaincu, c'est la flexibilité au niveau de l'apprentissage : la plateforme est à disposition et nous avançons chacun à notre rythme. Le contenu est également très complet, avec beaucoup de Python (toute la formation se fait sur des notebook python, donc il faut vouloir coder) et la mise en pratique de chaque notion sur les librairies les plus utilisés en Data.
Le gros plus de la formation selon moi est le service Career qui est vraiment présent du début à la fin et même après, pour nous aider dans la recherche d'emploi après une reconversion data, avec des ateliers sur des thématiques précises. Et ça fait du bien de se sentir accompagné à ce moment là :) 
Merci ! 

J'ai fait la formation data analyst en formation continue.
J'ai vraiment aimé l'accompagnement de l'équipe aussi bien avant de démarrer la formation : on est accompagné dans le choix du métier data qui correspond le plus à nos compétences et à nos projets professionnels, et durant la formation, on a accès à différents supports d'accompagnement (plusieurs groupes slack, le forum) où on trouve de l'aide à la fois des formateurs qui sont très présents et des co-apprenants. On ne se sent jamais seuls. J'ai aussi beaucoup aimé le contenu le contenu et la méthode d'apprentissage avec un test à la fin de chaque module, la possibilité de le repasser si on le rate, les masterclasses.
J'ai aussi beaucoup aimé le projet fil rouge qui permet de mettre en application ce qu'on apprend dans une réelle mission métier.
Si je devais définir Datascientest, une formation à distance mais proche de nous :)