Learning objectives

Learning objectives

Upon successful completion of this course, students will be able to:

1. Collect, organize, and clean dairy farm datasets derived from herd management systems.

2. Apply statistical and computational tools (e.g., Excel, R, Python, or similar software) to analyze dairy performance data.

3. Evaluate the strengths, weaknesses, and limitations of different data types used in dairy management.

4. Interpret and critically assess dairy datasets within biological, economic, and management contexts.

5. Create effective data visualizations, written reports, and presentations that communicate data-driven insights while adhering to ethical data use principles.

6. Synthesize herd-level data into a decision-support framework and collaboratively contribute to SWOT analyses with herd managers. ##