data-science-interviews

Why we included this project

Interview prep is often the most stressful part of a data science job hunt, and this repo takes some of the guesswork out of it. Rather than one author's idea of what gets asked, the questions come with answers written by the community: anyone can submit a new answer or improve an existing one through a pull request. That breadth is a real strength, though it also means quality varies, so treat the answers as a starting point rather than gospel. The questions are split into theory (linear models, trees, neural networks), technical (SQL, Python, coding), and probability, which makes it easy to build a study plan around weak spots. Interviewers can mine it for question ideas too, and the extra resources section points to more material for going deeper.