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 real-world datasets using industry-standard statistical packages.