The kinds of questions you’ll get asked during behavioral interviews, and how to think about answering them.
How is interviewing at consulting companies different from interviewing at product companies?
All about point biserial correlation, and how you can use it to figure out if a multiple-choice question is either too hard or too easy.
A Q&A about how to do a proper train / test split with time series data.
Our mentors and mentees discussing the hardest questions they’ve ever been asked in their job interviews, and how to answer them.
An explanation of a common statistical distribution using Magic: The Gathering, elementary school admissions, and Chinese card games.
An in-depth analysis of crime in the City of Toronto, with a heat map of the most dangerous neighborhoods.
A new way for teachers to build student groups who have complementary skills, using machine learning.
Why data science job descriptions can be so inaccurate, and how to tell which postings you should apply to.
Understanding the hiring process from the inside, and what it means for your application.