This document provides an introduction to data science, including defining data science, discussing the different types of data (structured, unstructured, natural language, machine-generated, graph-based, audio/video/images, and streaming) and tools used (Python, R, SQL, Hadoop, Spark). It also discusses benefits and uses of data science across industries and gives examples to illustrate each type of data.