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STT 811 (Course) - Grade Details
(with breakdown by semester)
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 Semesters
Average Grade - 3.912
Median Grade - 4.0
Latest grades from Spring 2024
STT 811 - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2023 | Average Grade - 3.906 Median Grade - 4.0 |
53 |
| Spring 2024 | Average Grade - 3.920 Median Grade - 4.0 |
44 |