Student Profile
Thomas Rankin
Data scientist at Google
Main skills learned
Theory + Practice
Python programming
Code languages
Artificial intelligence
What did you enjoy the most?
The course content combined with assistance from my instructor really helped me to deeply understand the concepts. It was great to enter the course every day and see how motivated and eager I was to learn. great job. I fully recommend it.
How did you go about finding a job?
I did the course while also studying at the University of Toronto. Before it, I worked on-campus jobs, which were the only kind of work my study permit allowed. later on, year after finishing the course, I found a job as a Data Analyst!
What's your professional development?
Having studied architecture design, and taking a couple of computer science courses at the University of Toronto. For over 7 years, I have designed high profile web and applications.
Can you describe your day-to-day activities?
I usually have a meeting or two before lunch to re-align with different teams on our progress and next steps. I am also the founder of a large local design organization.
Student Profile
Olivia Smith
Data scientist at KPMG
Main skills learned
Theory + Practice
Python programming
Code languages
Artificial intelligence
What did you enjoy the most?
Our group really stuck together and learned from each other. It was great to walk in every day and see how motivated and eager to learn. great job. I fully recommend it.
How did you go about finding a job?
While studying at the University of Toronto, I worked on-campus jobs, which were the only kind of work my study permit allowed. later on, year after, I found a regular job.
What's your professional development?
Having studied architecture design, and taking a couple of computer science courses at the University, I wasn't sure I am proficient enough to enter a technical role in the industry. The knowledge from the course really helped me to bridge the gap.
Can you describe your day-to-day activities?
I usually have a meeting or two before lunch to re-align with different teams on our progress and next steps. We are conducting technical analysis involving fascinating data sets, as well as presenting results to key stakeholders.
Student Profile
George Brokman
Data scientist at Spotify
Main skills learned
Theory + Practice
Python programming
Code languages
Artificial intelligence
What did you enjoy the most?
I really enjoy solving data-driven problems using Machine Learning, which is a very cool way to approach to detect hidden patterns in data and provide prediction for future events. The algorithms are exteremly fascinating to me.
How did you go about finding a job?
I was stressed that I lack enough knowledge, but actually found out that my previous experience combined with the new tools I learned in the course really prepared me for the industry.
What's your professional development?
I have been working as a Data Analyst, but always wanted to use powerfull algorithmic tools to find more patterns which are harder to detect using classical analytical methods.
Can you describe your day-to-day activities?
I spend a lot of time processing data and also analyze it and present conclusions to my managers. Afterwards, the algorithmic part begins, where I am training machine learning models and detect patterns that were unknown before to the organization.