Introduces a broad, non-technical overview of key concepts, skills, and technologies used in “data science”. Provides a high-level introduction to common data science pipelines, such as experimental design, data collection and storage, basic analytics, machine learning, and data visualization, focusing on analyzing in real-world datasets using industry standard statistical packages.