Spring 2027

Data Visualization for Agricultural and Life Sciences

Introduction to data visualization principles for agricultural and life sciences, focusing on communicating quantitative data and evaluating media graphics using Excel and Power BI.

offering recorded3 credits
Recorded instructors · Spring 2027 Jordan Van Rijn

Summary

What you’ll be able to do

  • Identify, download and modify data related to agricultural and life sciences using Excel and Power BI.

  • Apply principles of effective data visualization in Excel and Power BI, including how to choose the appropriate chart or graphic given your specific data.

  • Effectively utilize color, space, axes, legends, labels and text in data visualizations.

  • Critique graphs and charts used in the media and describe how graphs are designed and manipulated to tell a particular story.

  • Create and design tables, charts, maps, dashboards and other graphs that are visually appealing, clear and effective at honestly representing your data.

Source: UW Guide

Grade history

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letter grades

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Prerequisites

Course map

A A E 335 or GEN BUS 106

AAE 337

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Professors

Spring 2027
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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Online (some classroom)0 / 300

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Student experience

the class

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.

difficulty & workload

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Topics

  • Agricultural and life sciences applications
  • Excel and Power BI software tools
  • Critical evaluation of media graphics

Skills

  • Data manipulation and visualization using Excel and Power BI
  • Selecting appropriate charts and graphics for specific datasets
  • Critical evaluation of graphical data in news and popular media

Grades

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records
AAE 337 · Spring 2027

Data Visualization for Agricultural and Life Sciences

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:108:027270",
    "course_id": "AAE 337",
    "course_uid": "course_bca0d2446d1c77143f6472f4",
    "term_id": "1274",
    "source_course_id": "027270",
    "source_subject_id": "108",
    "title": "Data Visualization for Agricultural and Life Sciences",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "d2dcb092b350796a4fc9803ea442042300a0c255c65d6bb9c1b921da55ff370c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}