Though David had a master's in data analytics, he still didn't feel ready to start working as a data analyst. After 5 months training at Ubiqum and he really began thinking like a data analyst!
I learnt more in one month of training at Ubiqum than I did in the nine months studying my master’s degree.David Gibert
What were you doing before signing up for our course?
I studied psychology and did a master’s in data analytics. During the summer, I applied for a few jobs, but I realised that although I had studied data analytics, my level of knowledge was nowhere near good enough to be a data analyst. I needed more experience to take my career as a data analyst to the next level, which is why I decided to take Ubiqum’s data analytics course.
Why did it seem like the right moment in your life to sign up for the course?
One week before starting the course, I was talking to a friend and ex student, Oriol Ballesteros, and I was telling him about my master’s degree. He said to me, why don’t you join Ubiqum, they have a data analytics program? He said he had learnt a lot during his time at Ubiqum and that doing the web development with Java program helped him get the job he’s in now. I didn’t need much time to think about it, I spoke to one of the career advisors and started a week later.
What was your main concern before starting?
Honestly, I didn’t have any real concerns because I spoke with my good friend about it. In the end, I just wanted to make sure that I got the most out of it and learnt everything that I possibly could.
What were your expectations/what were you hoping to get out of it?
Honestly, I don’t remember, and if I don’t remember that’s good because they must have been already fulfilled. My goals were always to build on my knowledge and learn how to work as a data analyst. When you start studying data analytics from scratch, the learning curve is exponential, but you spend most of the time on the flat side of the graph. I couldn’t reach that exponential part of the graph in the whole nine months I was studying my master’s degree. On the second day of training at Ubiqum, 16 hours into the course, I already saw myself on that high part of the curve!
Do you think our Learn by Doing methodology has been effective?
This is what this experience is all about, I mean for me it’s slightly different because I already had some experience with Python and R, two programming languages used in data analytics, so my foundation was stronger. But this methodology helped me so much because everything I had learnt in my degree was all connected by the fourth day of training at Ubiqum. I knew that my knowledge would eventually give me insights when analysing data, but I didn’t realise it would happen so fast. It literally happened the second day, it was mind blowing, and all because of the Learn by Doing methodology; it really makes you learn and actually remember what you’ve learnt.
How helpful did you find Ubiqum’s career services?
I think it was quite interesting, first of all, everyone can do their CV or LinkedIn alone, but the great thing about the Boosting my Career program is that you don’t have to. It’s like Ubiqum itself, you can work on a project by yourself at home, but when you have mentors who give you deadlines and make you work for it, it makes it easier. The career advisors were very helpful.
Would you recommend Ubiqum and if so, why?
Yes of course, for all the reasons I said before and because it’s a great experience. If you know you want to learn machine learning and data analytics then this is the way to go. I learnt more in one month of training at Ubiqum than I did in the nine months studying my master’s degree. I would tell my fellow classmates when they were frustrated or stressed to imagine having this feeling for nine months of study, only knowing half of what you know now. But, of course, this is their first experience learning data analytics whereas it was my second.
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