Spring 2027

Introduction to Data Analysis Using Spreadsheets

Introductory course on using spreadsheets for data analysis in economics, business, and finance, covering data manipulation, visualization, and optimization.

offering recorded2 credits
Recorded instructors · Spring 2027 Jordan Van Rijn

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.59 GPA, 81.3% A/AB (n=166 letter grades); Fall 2025: 3.64 GPA, 85.2% A/AB (n=169 letter grades); Spring 2026: 3.61 GPA, 81.8% A/AB (n=181 letter grades).

What you’ll be able to do

  • Use basic Excel software, download and manipulate economic and financial data, and create basic formulas and functions.

  • Create, refine and interpret Excel charts and other graphics with real world economic and financial data, and display and organize data using tables and PivotTables.

  • Present, analyze and interpret trends and relationships among and between various economic indicators.

  • Use Solver and Goal Seek to numerically find optimal solutions.

Source: UW Guide

Grade history

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

Prerequisites

Course map

None

  • None
AAE 335 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Spring 2027

Recent recorded grades — Spring 2025: 3.59 GPA, 81.3% A/AB (n=166 letter grades); Fall 2025: 3.64 GPA, 85.2% A/AB (n=169 letter grades); Spring 2026: 3.61 GPA, 81.8% A/AB (n=181 letter grades).

Historical instructors & teaching patterns

JORDAN VAN RIJN is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Spring 2025, Fall 2025, 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 / 1000

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 2025: 3.59 GPA, 81.3% A/AB (n=166 letter grades); Fall 2025: 3.64 GPA, 85.2% A/AB (n=169 letter grades); Spring 2026: 3.61 GPA, 81.8% A/AB (n=181 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data management, visualization, and optimization
  • Applications to economics, business, and finance

Skills

  • Using Excel to manipulate data and create formulas
  • Creating and interpreting charts and PivotTables
  • Analyzing trends in economic indicators
  • Optimizing functions using Solver and Goal Seek

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

Grades over time

Through Spring 2026

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.

Download part 1
Selected offering source records
AAE 335 · Spring 2027

Introduction to Data 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": "1274:108:025561",
    "course_id": "AAE 335",
    "course_uid": "course_c9267e38d976d83349005926",
    "term_id": "1274",
    "source_course_id": "025561",
    "source_subject_id": "108",
    "title": "Introduction to Data Analysis using Spreadsheets",
    "credits_min": 2,
    "credits_max": 2,
    "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": "a5fa583be63472405c8e44212637b73083c7d74f08555391fb4a865e44a60bc3",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}