This repository aggregates materials from DataCamp’s Python Data Scientist track, organized by course. It includes slides, accompanying code, and exercises for topics ranging from Python basics through pandas, data cleaning, statistical thinking, machine learning with scikit-learn, natural language processing, and neural networks. The repo serves as a study guide for learners following the DataCamp curriculum.