DATA VISUALIZATION FOR AGRICULTURAL AND LIFE SCIENCES
Introduction to principles data visualization with applications in agricultural and life sciences. Learn to effectively communicate quantitative data via visual graphics and critically evaluate graphical data in the news and popular media. Develop practical data visualization skills in Microsoft-based programs Excel and Power BI, including tables, maps, dashboards, charts and other graphics that display trends and relationships within and between quantitative variables.
Prerequisites & course information
Requisites: A A E 335 or GEN BUS 106 Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Learning Outcomes: 1. Identify, download and modify data related to agricultural and life sciences using Excel and Power BI. Audience: Undergraduate 2. Apply principles of effective data visualization in Excel and Power BI, including how to choose the appropriate chart or graphic given your specific data. Audience: Undergraduate 3. Effectively utilize color, space, axes, legends, labels and text in data visualizations. Audience: Undergraduate 4. Critique graphs and charts used in the media and describe how graphs are designed and manipulated to tell a particular story. Audience: Undergraduate 5. Create and design tables, charts, maps, dashboards and other graphs that are visually appealing, clear and effective at honestly representing your data. Audience: Undergraduate Learning Outcomes: 1. Identify, download and modify data related to agricultural and life sciences using Excel and Power BI. Audience: Undergraduate 2. Apply principles of effective data visualization in Excel and Power BI, including how to choose the appropriate chart or graphic given your specific data. Audience: Undergraduate 3. Effectively utilize color, space, axes, legends, labels and text in data visualizations. Audience: Undergraduate 4. Critique graphs and charts used in the media and describe how graphs are designed and manipulated to tell a particular story. Audience: Undergraduate 5. Create and design tables, charts, maps, dashboards and other graphs that are visually appealing, clear and effective at honestly representing your data. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027