I realized that as a product manager in a travel tech startup, I needed heavy tools to analyze data, do predictions and more. So I started checking all kinds of data science boot camps, and machine learning academies, but unlike most of them, Y-DATA looked realistic. I chose Y-DATA because one year is better in terms of understanding things. Also, I could combine it with my previous work.

Most students were already in the field, tackling real AI challenges — from building models and AI agents to applying flexible AI frameworks in specific industries. The lecturers were both researchers and practitioners deeply passionate about AI. This course went well beyond 36 hours of content.

You know they say go with your passion, right? I’ve been programming since I was a kid, but I never really dealt with Data Science or Machine Learning before Y-Data. I already knew the math part of the introductory courses but they were so fast-paced that I wasn’t bored and quickly enough we got into supervised learning and deep learning. This gave me the tools to do things that I couldn’t have done before, and let me explore and widen the area of my thoughts.

It was obvious to me that math is the field for me. I did my B.Sc and M.Sc in math. In the industry, you can do a lot with math, but you must have knowledge in computer science as well. Y-Data was exactly right for me — it let me combine my background with computer science and strong data science foundations.

The course is great, I think it’s the best professional course I have taken and for me personally, it’s a good substitution for a master’s degree (for now). Even though I’m already working as a Data Scientist i still learn new things, there are always fields that I’m less proficient in and the course fills the gap.