Spring 2027

Digital Marketing Analytics

Introduces business analytic techniques for digital marketing, focusing on designing, evaluating, and improving online tactics to achieve objectives like customer acquisition.

offering recorded2–3 credits
Recorded instructors · Spring 2027 Cheng He3.9/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.54 GPA, 69.2% A/AB (n=39 letter grades); Spring 2025: 3.37 GPA, 55.9% A/AB (n=34 letter grades); Spring 2026: 3.73 GPA, 81.8% A/AB (n=11 letter grades).

What you’ll be able to do

  • Develop an understanding of digital marketing tools and their applications including but not limited to targeted advertising, social media marketing, and search engine advertising

  • Identify and apply analytical methods of evaluation including data visualization, experimental design, regression analysis, and machine learning methods

  • Gather and analyze data for a product category/brand from a variety of digital sources to evaluate the effectiveness of digital marketing approaches

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
MARKETNG 745

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 5 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2024: 3.54 GPA, 69.2% A/AB (n=39 letter grades); Spring 2025: 3.37 GPA, 55.9% A/AB (n=34 letter grades); Spring 2026: 3.73 GPA, 81.8% A/AB (n=11 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

CHENG HE is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 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 001Classroom Instruction0 / 300

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2024: 3.54 GPA, 69.2% A/AB (n=39 letter grades); Spring 2025: 3.37 GPA, 55.9% A/AB (n=34 letter grades); Spring 2026: 3.73 GPA, 81.8% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Targeted advertising, social media marketing, and search engine advertising
  • Data visualization, experimental design, regression analysis, and machine learning
  • Evaluating digital marketing effectiveness through multi-source data analysis

Skills

  • Digital analytics methods and data-driven marketing execution
  • Application of digital marketing tools like targeted advertising and social media
  • Analytical evaluation using data visualization, regression, and machine learning

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

Not enough comparable courses for Spring 2027 in UW–Madison.

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
MARKETNG 745 · Spring 2027

Digital Marketing Analytics

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": "1274:237:025885",
    "course_id": "MARKETNG 745",
    "course_uid": "course_4833d1a782cc592a64f85b44",
    "term_id": "1274",
    "source_course_id": "025885",
    "source_subject_id": "237",
    "title": "Digital Marketing Analytics",
    "credits_min": 2,
    "credits_max": 3,
    "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": "acae75087836a82a3764e8690d7054d1a5cc2be0be42b9fa5480d88c5843cdd7",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}