Becoming a data scientist

My year-long hiatus from medical school

In my second year of medical school, I decided to open an unfamiliar email entitled “UBC Centennial Symposium on Health Informatics”. What was Health Informatics? I had no idea, but I intended to find out. The symposium featured the UK’s National Health Service (NHS) and showcased their use of large... [Read More]

Our curriculum, Part 1

Computer science & machine learning

This is the first in what will hopefully become a series of posts on our curriculum for the Master of Data Science (MDS) program at UBC. Our program is structured as six four-week blocks, each containing four mini-courses, for a total of 24 mini-courses. Each of these mini-courses is about... [Read More]

Statistics-ML dictionary

One of the most rewarding aspects of working on the UBC Master of Data Science program has been the close collaboration between my home department, computer science, and the statistics department here at UBC. The collaboration has also come with a challenge, though: the two communities often use different words... [Read More]

Communication in data science

More than just the final report

When people stress the importance of good communication in data science, they are usually saying something like what Hadley Wickham says in his book R for Data Science: “[It] doesn’t matter how great your analysis is unless you can explain it to others: you need to communicate your results.” In... [Read More]