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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 - 3.938
Median Grade - 4.0
193 total students

Latest grades from Spring 2026

STT 811 - Overview

Semester Grade Info
Spring 2026 Average Grade - 3.942
Median Grade - 4.0
Spring 2025 Average Grade - 3.989
Median Grade - 4.0
Spring 2024 Average Grade - 3.920
Median Grade - 4.0
Spring 2023 Average Grade - 3.906
Median Grade - 4.0

Back to Overview for STT 811

Spring 2026

Average Grade - 3.942
Median Grade - 4.0
52 total students

Back to Overview for STT 811

Spring 2025

Average Grade - 3.989
Median Grade - 4.0
44 total students

Back to Overview for STT 811

Spring 2024

Average Grade - 3.920
Median Grade - 4.0
44 total students

Back to Overview for STT 811

Spring 2023

Average Grade - 3.906
Median Grade - 4.0
53 total students

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