This document outlines the key aspects of being a data scientist. It begins by defining data science and what data scientists do, which includes understanding business problems, collecting and preprocessing data, designing analyses, modeling algorithms, generating insights, and recommending next steps. It then details the step-by-step process data scientists follow and lists skills needed like mathematics, statistics, programming, and machine learning. Finally, it provides tips on how to become a data scientist, such as building a portfolio, focusing on soft skills, and continuously upgrading skills.