Mechanical Engineering to Data Analytics in 5 months
My experience was amazing! I've gained new skills and the data course has enabled me, through the Learn by Doing methodology, to continue learning on my own.Armin Talic
You’ve now graduated, congratulations! How is the job search going?
I have been applying for jobs over the last two months of the Data Analytics course, and I have received much positive feedback and several job interviews. Just a few days ago, I received and accepted an interesting job offer in Finland for a 6 month internship in Data Analytics.
What were you doing before signing up for our course?
I graduated with a B.Sc. in Mechanical Engineering in July 2017 and I wanted to start my career in data analysis/data science field. Being fresh out of university, it was challenging to enter the workforce in the data related fields as I was lacking practical knowledge and concrete projects.
I found Ubiqum Code Academy whilst searching for a master’s degree in data science. When I read that I would be working on projects with real datasets and business cases that I could use to build my own portfolio, Ubiqum stood out as the perfect option for me.
Furthermore, since I was already confident with my theoretical background, I was hoping to get more practical knowledge, which Ubiqum provided me with.
What was your main concern before starting?
I was concerned that it might be too demanding and intense, which was not the case. I mean this in a good way! The pace of the course increases gradually and I was able to finish most of the tasks on time or even before the deadlines. I also had the opportunity to improve my skills and learn other tools alongside the projects we were set.
Why did Ubiqum Code Academy stand out as the best choice?
I am happy that I chose Ubiqum over doing a master’s degree as I believe I’ve gained more practical knowledge in data analytics than I could have gotten doing a master’s degree. Of course, university education has its advantages, but my goal was to learn practical skills that would enable me to find a job and further continue to work on my own projects. Ubiqum Code Academy provided me with a good basis for this, and many doors are now open to me.
Do you think our "Learn by Doing" methodology has been effective?
Although it was challenging at specific points where my theoretical background wasn’t sufficient, overall, the methodology was really effective. I learned how to find my sources when I lacked understanding of a particular topic, and was therefore always able to complete my projects.
How helpful did you find the Job Placement service?
The Job Placement team were helpful and always available to answer my questions. I have to say that I gained a lot from talking to other Ubiqum students; learning from their mistakes and listening to their advice. I did my own research on how to produce a CV and cover letter, as well as how to behave during the interviews before the job placement program started, so I needed minimal support in this area. However, it is definitely useful for people who don’t have much experience looking for work or are perhaps coming from a very different field. After all, apart from them preparing us for job interviews, they also organised Hiring Days where we met and were interviewed by a number of companies. They also sent my CV to companies, some of whom contacted me to arrange an interview.
Why would you recommend Ubiqum Code Academy?
I would recommend Ubiqum Code Academy to anyone who is actually interested in gaining skills in the field of data analytics, and not just trying to find a job by having a course name on their CV.
My experience was amazing! I have gained new skills and the data course has enabled me, through the “learn by doing” methodology, to continue learning on my own. What’s more, as a result of doing the course, I have had a number of job interviews and have ultimately been awarded with a job opportunity. The work atmosphere is great; it has the startup working vibe and I had the opportunity to meet and work with people from many different countries and educational/working backgrounds.
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