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.
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.
How to build a project that employers will actually care about.
On the value of the PhD, the Master’s, and when it’s time to drop out.
Stories of personal data science projects that led to job offers.