Spring 2027

Economic Analysis Using Spreadsheets

Economic Analysis Using Spreadsheets builds practical skills in analyzing and interpreting macroeconomic data using spreadsheet software, covering data cleaning, statistical analysis, and visualization.

offering recorded1 credits
Recorded instructors · Spring 2027 Jordan Van Rijn

Summary

1 / 3

Recent recorded grades — Spring 2026: 3.58 GPA, 81.6% A/AB (n=38 letter grades).

What you’ll be able to do

  • Identify appropriate economic indicators, download them to Excel, and clean, organize and prepare data for further statistical analysis.

  • Create, refine and interpret Excel graphs and descriptive statistics with real world economic and financial data, and display and organize data using tables, graphs, maps and charts.

  • Utilize economic theory to interpret trends in important economic indicators over time, and relationships among and between economic indicators.

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

A A E 335 or concurrent enrollment

AAE 336

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2026: 3.58 GPA, 81.6% A/AB (n=38 letter grades).

Historical instructors & teaching patterns

JORDAN VAN RIJN is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Online Only0 / 00

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2026: 3.58 GPA, 81.6% A/AB (n=38 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Downloading and cleaning macroeconomic data
  • Statistical analysis of economic indicators using tables, functions, and descriptive statistics
  • Data visualization using graphs, charts, and maps
  • Interpreting trends and relationships among economic indicators using economic theory

Skills

  • Downloading, cleaning, organizing, and preparing macroeconomic data in Excel for statistical analysis.
  • Creating, refining, and interpreting Excel graphs, descriptive statistics, tables, maps, and charts with real-world economic and financial data.
  • Applying economic theory to interpret trends and relationships among economic indicators over time.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F
More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
AAE 336 · Spring 2027

Economic Analysis using Spreadsheets

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": "1274:108:027218",
    "course_id": "AAE 336",
    "course_uid": "course_97ce00532fff928703147676",
    "term_id": "1274",
    "source_course_id": "027218",
    "source_subject_id": "108",
    "title": "Economic Analysis using Spreadsheets",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "37842a56c7bd2d311738d3bd2887b73d4eaca8c057bbe6516311220dabcf0f07",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}