NAVIGATING THE DATA REVOLUTION: CONCEPTS OF DATA & INFORMATION SCIENCE

Prerequisites & course information

Requisites: Satisfied Quantitative Reasoning (QR) A, satisfied Communications A, and sophomore standing Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Comm QR - Quantitative Reasoning B Breadth - Natural Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Understand and communicate the different types of data science projects, and be familiar with the tools and methods used in data science Audience: Undergraduate 2. Apply data analysis to primary data sources to solve problems Audience: Undergraduate 3. Communicate about data and analyses clearly and persuasively in written, spoken, and graphical/visualized form Audience: Undergraduate 4. Identify probability distributions commonly used as foundations for statistical modeling Audience: Undergraduate 5. Reason around ethical and privacy issues in data science conduct and apply ethical practices. Audience: Undergraduate Learning Outcomes: 1. Understand and communicate the different types of data science projects, and be familiar with the tools and methods used in data science Audience: Undergraduate 2. Apply data analysis to primary data sources to solve problems Audience: Undergraduate 3. Communicate about data and analyses clearly and persuasively in written, spoken, and graphical/visualized form Audience: Undergraduate 4. Identify probability distributions commonly used as foundations for statistical modeling Audience: Undergraduate 5. Reason around ethical and privacy issues in data science conduct and apply ethical practices. Audience: Undergraduate