Elements of Data Science is an introduction to the discipline for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the practical purposes of various skill sets. The organization of the book itself follows the steps of a data science project: posing and refining questions, cleaning and validating data, exploratory analysis and identifying relationships between variables, generating predictions, and designing data visualizations that tell a compelling story.