She teaches statistics better than some professors in the stats department. Exams are hard but you learn a lot from them. If you like analytics and don't mind 8 am this is a great class.Rate My Professors ↗
Historical instructor
YIWEI ZHANG
What students say
Original student reviews · all captured dates
Quality 5/5Difficulty 4/5
Quality 5/5Difficulty 3/5
She is amazing! This semester, this course is entirely online, but the course is still run really well. Even if you haven't taken a stats class before, this course is totally doable. Her examples and her lectures are great, and I found this course to be very interesting. Overall, not too much work, and I would recommend this course to anyone.Rate My Professors ↗
Quality 2/5Difficulty 3/5
New teacher in Madison, almost felt as though she was too smart to teach excel. She moved pretty quick sometimes so it can be hard to keep up when she's doing demonstrations with excel, sometimes it was just better to watch and absorb. First half of the course is in excel, the other half is interpreting store data and doing presentationsRate My Professors ↗
Quality 5/5Difficulty 4/5
(I think) It was Professor Zhang's first semester at UW and she did such a great job! I was dreading this course, but the professor made the material easier to understand, and provided a lot of resources (videos, powerpoints, etc) to use outside of class to help. 3 group projects, but she provided great feedback so we could improve every time!Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with YIWEI ZHANG
No teaching recorded in Fall 2026.
View last recorded teaching term →No courses match this selection. Try the full catalog or another term.
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2026 | CNSRSCI 301 | Consumer Analytics |
| Spring 2026 | CNSRSCI 778 | Causal Models in Household and Consumer Research |
| Spring 2026 | CNSRSCI 990 | Research and Thesis |
| Fall 2025 | CNSRSCI 301 | Consumer Analytics |
| Fall 2025 | CNSRSCI 852 | Advanced Consumer Policy |
| Fall 2025 | CNSRSCI 990 | Research and Thesis |
| Spring 2025 | CNSRSCI 301 | Consumer Analytics |
| Spring 2025 | CNSRSCI 778 | Causal Models in Household and Consumer Research |
| Spring 2025 | CNSRSCI 990 | Research and Thesis |
| Spring 2025 | CNSRSCI 999 | Independent Study |
| Fall 2024 | CNSRSCI 301 | Consumer Analytics |
| Fall 2024 | CNSRSCI 999 | Independent Study |
| Spring 2024 | CNSRSCI 901 | Graduate Special Topics in Consumer Science |
| Spring 2024 | CNSRSCI 990 | Research and Thesis |
| Spring 2024 | CNSRSCI 999 | Independent Study |
| Fall 2023 | CNSRSCI 301 | Consumer Analytics |
| Fall 2023 | CNSRSCI 990 | Research and Thesis |
| Fall 2023 | CNSRSCI 999 | Independent Study |
| Spring 2023 | CNSRSCI 990 | Research and Thesis |
| Spring 2022 | CNSRSCI 901 | Graduate Special Topics in Consumer Science |
| Fall 2021 | CNSRSCI 301 | Consumer Analytics |
| Fall 2020 | CNSRSCI 301 | Consumer Analytics |
| Fall 2020 | CNSRSCI 999 | Independent Study |
| Spring 2020 | CNSRSCI 901 | Graduate Special Topics in Consumer Science |
| Fall 2019 | CNSRSCI 301 | Consumer Analytics |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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