This document provides an overview of how to become a data scientist from scratch. It discusses the key skills needed, which include mathematics/statistics, computer programming, and business knowledge. It then covers various topics required for a data science career like mathematics, programming languages, data wrangling, analysis, machine learning, deep learning, big data, and additional skills like NLP and CV. The document also lists learning outcomes, best online resources, blogs, books, and packages to learn data science from the ground up.