This repository presents a structured roadmap for becoming a data scientist, starting with fundamental topics like linear algebra, data structures, and algorithm complexity. It then progresses into machine learning concepts, deep learning, natural language processing, and computer vision. The content includes visual diagrams, Wikipedia-linked explanations, and organized modules for self-directed learning.