I recently sat down with Course Report to discuss the math needed to become a data scientist. Blending coding skills with mathematics lies at the heart of data science, so understanding fundamental math concepts is critical for a successful career within the field. Linear algebra, calculus, probability, and statistics are the four math disciplines that fuel the bulk of data science. In this interview, I discuss the role each topic plays in data science; I also work through an example problem from all four subjects.
Please continue to the Course Report blog for a write-up of the interview.