This course is the first of a two-semester sequence that provides an overview of computing and data analysis concepts and tools that are frequently used throughout the biological sciences. Topics covered include data filtering and restructuring; data visualization and effective communication; data science best practices for reproducibility, reusability, and discovery; and working effectively with big data. Students will learn how to leverage key tools from the Unix, R, and Python computing ecosystems.
