CONCEPTS AND TOOLS FOR DATA ANALYSIS AND VISUALIZATION

Prerequisites & course information

Requisites: None Course Designation: Core GenEd - Social & Behavioral Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Investigate practical and ethical challenges of collecting, managing, analyzing and presenting data. Audience: Both Grad & Undergrad 2. Summarize the basic grammar and principles for data visualization. Audience: Both Grad & Undergrad 3. Handle the R language for managing data and creating visualization. Audience: Both Grad & Undergrad 4. Compute basic statistical concepts in data analysis and visualization. Audience: Both Grad & Undergrad 5. Practice handling and visualizing tabular, textual (e.g., social media posts), and geospatial data. Audience: Both Grad & Undergrad 6. Develop a research study. Audience: Graduate Learning Outcomes: 1. Investigate practical and ethical challenges of collecting, managing, analyzing and presenting data. Audience: Both Grad & Undergrad 2. Summarize the basic grammar and principles for data visualization. Audience: Both Grad & Undergrad 3. Handle the R language for managing data and creating visualization. Audience: Both Grad & Undergrad 4. Compute basic statistical concepts in data analysis and visualization. Audience: Both Grad & Undergrad 5. Practice handling and visualizing tabular, textual (e.g., social media posts), and geospatial data. Audience: Both Grad & Undergrad 6. Develop a research study. Audience: Graduate