Data Science & AI Intensive Program (Part-Time)

The part-time Data Science Bootcamp was intense and, sometimes, the time was not enough to cover all the topics in details, but it was complete and interesting with many practical sessions to use the techniques previously learnt. The instructors were always available to answer our (many) questions and helped when necessary, leaving everyone enough room to try on their own to find a suitable solution. Definitively worth it. 

I come from a finance / economics background and decided to enrol in the part time Data-Science Bootcamp in 2022. The overall experience was quite positive and I must say that the bootcamp transformed my knowledge in the field. The bootcamp hit the mark on so many points but more specifically on:1. Adapting to online style: For me it was during pandemic lock down. The team was very well prepared to manage the remote setting. Everything was clear and organised and on time. Of course a few glitches here and there but nothing that hindered the productivity of the classes.2. The curriculum is well structured and thought through. It starts relatively slow laying down the basics then ramping up speed by the second half of the course. I must also say that I was impressed they covered some DevOps and database management topics something often neglected in Data Science courses3. The level of instructors is quite high. Very knowledgeable on the practical as well as the theoretical parts and are able to answer questions and give deep insights on the fly. Assistants are quite helpful, equally knowledgeable and worked tirelessly with us whenever we had issues.4. Last but not least, you can really feel the passion for the topic from everybody involved. It doesn't feel like a packaged one size fits all kind of courses which was my main concern before enrolling.I would like to point out that although the course starts somehow slow but it really ramps up fast by the second half of the course. If you really want to get the most out of it, not only do you need to be prepared to put in the effort but I also recommend that you prepare well before you start. At the very least you need to have good grips on Python programming, and understanding of statistical analysis. I also encourage (although not essential) to get acquainted to some practical degree about some of the topics around machine learning and deep learning.