STT 811 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Applied Statistical Modeling for Data Scientists
Course Description: Data Visualization. Linear regression. Analysis of variance. Logistic regression. Generalized linear models. Variable selection. Categorical data analysis. Models for design of experiments. Models for time series data.
STT 811 - All Instructors
Average Grade - 3.936
Median Grade - 4.0
Latest grades from Spring 2025
STT 811 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Paul Harrison Speaker | Average Grade - 3.912 Median Grade - 4.0 |
97 | Spring 2024 | |
| Savvy Marisa Barnes | Average Grade - 3.989 Median Grade - 4.0 |
44 | Spring 2025 |
Paul Harrison Speaker
Average Grade - 3.912
Median Grade - 4.0
Latest grades from Spring 2024
See detailed grade info for this instructor
Savvy Marisa Barnes
Average Grade - 3.989
Median Grade - 4.0
Latest grades from Spring 2025
See detailed grade info for this instructor