Introduction to Data Science

The document covers topics related to data manipulation, real-world data sources, exploratory data analysis (EDA), Python programming with Pandas, ethics in data science, and various techniques for analyzing and visualizing data. It includes examples, explanations, and references to specific tools and libraries, such as Pandas, Seaborn, and Python, to illustrate key concepts in data science. The content is organized into sections, each focusing on different aspects of data science, such as wo...