Artefact School of Data

4 weeks of intensive courses on data product management : from discovery to large overview. 
I really enjoyed my time at Artefact school of data. 
The welcoming atmosphere, the training conditions, and the course material was impeccable. 
As for the trainers, they had a high level of expertise, and were always available to answer questions and provide support. The pedagogical framework is complete, covering theory, methods, and practical cases. I suggest they include less Maths & more product management feedbacks & case studies. 
I definitely learned a lot & recommend this course. 

These past 4 weeks were intensive and tiring and yet I am sorry this bootcamp is finished... I learned so much and it makes me want to learn even more and to continue this journey into the fascinating world of data. The teachers and all the personnel gave their best to make us feel welcome and I looked forward coming to my classroom every morning. We covered a wide range of topics and all the course materials stay available to view and review, which I will certainly often do. Highly recommended!!

I have attend the Sept-Dec 2019 session of Vivadata bootcamp. Vivadata bootcamp is a 10 week program covering python programming, data collection, data analysis, machine learning (supervized and unsupervized), NLP, data engineering and deep learning.

I have found the content of the classes to be of high quality: written courses, video courses, exercises and corrections are accessible on their platform and remain accessible after the bootcamp. The courses are dense, oriented towards practice (lots of exercises and projects)  and the pace was strong from the beginning to the end (be motivated!).

The teachers and teachers assistants are knowledgeable and very available to support students whenever questions are coming up. I enjoyed the teaching style, the playful content and engaging projects that contributes to make the challenging experience fun as well.

The cohort is kept to a maximum of 15 fellows (not always the case in other bootcamps). I appreciated that Vivadata accepted fellows from diverse backgrounds and levels of education (I’ve seen other bootcamp only accessible to fellow holding a master or PhD which is in my opinion meant to inflate their employment rate after the bootcamp) as long they show they are serious and motivated by completing the preparatory work.

While all the resources are available for free online, I am glad that I joined a bootcamp because I don’t think I would have been able to learn so much by myself in such a short amount of time. Having the support of classmates and teachers to solve issues allowed me to avoid great frustrations met when you start coding and being part of a cohort was very motivating.

I am extremely satisfied with the Vivadata’s bootcamp and I would recommend this bootcamp to someone motivated (because it requires a strong commitment) who wants to learn a lot about python and data science in a short amount of time and has for short term plan to add data skills to his/her current job/domain or long term plan (because it will require more practice and studying) to become a data scientist

A la recherche d'une formation professionnelle, avec le souhait d'une reconversion vers le domaine de la data, j'ai choisi de  poursuivre la formation data science et intelligence artificielle . Cette dernière a été une expérience riche en découvertes et qui suscite le désir d'aller toujours plus loin dans l'approfondissement des connaissances et de la pratique. Un très grand merci aux formateurs pour leur accompagnement, leur enseignement qui m'ont permis de vivre une formation passionnante, sérieuse, dans une ambiance toujours très conviviale, ainsi que de partager de belles expériences avec les autres participants.Je souhaite une excellente continuation à tous et à toute l'équipe de VIVADATA.

I joined the winter 2018 in-person Vivadata batch in Paris.

I would consider myself very strong with Excel, but wanted to take my analytical and programming skills to the next level. Attending the Vivadata bootcamp was an intensive period. However, it served as a great introduction into the data analysis and science field. The curriculum of the course was great. Having teachers who work extensively in Data Science and has experience applying many of these concepts in the real world is extremely helpful and interesting.

The course content is amazing, really oriented toward the intuition and understanding of all the key concepts, and fast-paced.

Vivadata is built on top of a great community (accessible both before and after the bootcamp) and offers a real career support (with access to job opportunities, resume support, interview preparations, etc.)

While there are many possible ways to acquire data analysis knowledge and experience (MOOCs, work experience etc), the bootcamp is a neatly packaged curriculum with many benefits such as job support and alumni Network. The bootcamp touches on all the tools you need to start working on real data problems. However, this concise delivery method isn't a free ticket to a new job. There is no substitute for hard work and motivation.

I would highly encourage anyone interested in moving into the Data Analytics / Data Science field to look at Vivadata. However, the motivation and level of effort you put into the program (and afterwards) will be key factors in success.

My time at Vivadata (in Paris) was amazing and the outcomes I've seen since I graduated 4 months ago are unparalleled.

Vivadata's curriculum is great. Every day, the first 2 hours are focus on lectures. During this time, you will digest A LOT of new information, but you will also have the chance to apply it immediately because the rest of the day is challenge-based. This way, you get to reinforce, and practice immediately on what has been presented during the morning. You'll also (almost always) be working in pairs which is a great way to learn from one another. You will also work on 3 mini projects along the program (which are perfect to show during interviews).

In terms of time commitment, class approximately goes from 9:00am-6:00pm everyday, and when you are done with the day, I usually spent a small hour reviewing lectures, working on challenges of the day or personal projects. I would definitely agree with others in saying that you'll get out of this program what you put in. It's a lot of new information and a lot of work, but if you're willing to invest the time an energy into learning, you'll be ecstatic with the results. Overall, I never felt overwhelmed by what I needed to accomplish. Instead, I felt excited and motivated every day to continue learning from my instructors (who were AMAZING) and peers.

In an effort to keep this brief, I'll conclude with a little bit about where I'm at now. As I mentioned, it's been about 4 months since I graduated from Vivadata. Since then, I've received several job offers and accepted one that I'm very excited about. Vivadata does a great job helping you feel confident speaking technically about your work, which was a major help during interviews. In several interviews I was asked to give a small presentation on a recent project I'd completed, so having a portfolio of work to choose from was extremely helpful. One more thing I'll note is that throughout my job-search, I surprisingly found my non-traditional background to be a strength. Many employers are looking for people who can bring a unique perspective to their company/product, and to them, bootcamp grads are ideal!

Overall, my experience was wonderful and I would highly recommend Vivadata to anyone looking to transition into data science!

During the bootcamp, I was able to combine the theory that I already had from my master's degree, and practice with this bootcamp. 
We were able to test a lot of different and interesting algorithms (transformer networks, YOLO for object detection, etc.) during exercises with real problems. 
Obviously the training begins with basics in python for real neophytes while offering the possibility for more experienced individuals to join directly on the machine learning / deep learning part. 
The speakers were very patient and educational. And above all, they know how to answer questions and know their subject.

The only downside is that I would have liked to do more deep learning and explore new libraries like polars, which replaces pandas.