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Availability
Min GPA
0.0
Subject
Discipline
Courses Clubs
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Taylor Brown

2.97
Rating
3.35
Difficulty
3.52
GPA

DS

DS 6040 | Bayesian Machine Learning
Rating
Difficulty
GPA
Fall 2024
Last Taught

Statistics

STAT 1601 | Introduction to Data Science with R
4.0
Rating
2.0
Difficulty
3.81
GPA
Fall 2023
Last Taught
 STAT 1602 | Introduction to Data Science with Python
2.8
Rating
3.2
Difficulty
3.71
GPA
January 2024
Last Taught
 STAT 2120 | Introduction to Statistical Analysis
Rating
Difficulty
GPA
Spring 2015
Last Taught
 STAT 3080 | From Data to Knowledge
4.2
Rating
3.5
Difficulty
3.75
GPA
Spring 2025
Last Taught
 STAT 3120 | Introduction to Mathematical Statistics
2.8
Rating
3.8
Difficulty
3.13
GPA
Spring 2020
Last Taught
 STAT 3250 | Data Analysis with Python
3.7
Rating
2.3
Difficulty
3.52
GPA
Summer 2023
Last Taught
 STAT 4160 | Experimental Design
Rating
Difficulty
3.53
GPA
Spring 2023
Last Taught
 STAT 4170 | Financial Time Series and Forecasting
Rating
Difficulty
3.16
GPA
Summer 2023
Last Taught
 STAT 4993 | Independent Study
Rating
Difficulty
GPA
Spring 2023
Last Taught
 STAT 5020 | Mathematical Statistics
Rating
Difficulty
GPA
Summer 2016
Last Taught
 STAT 5170 | Applied Time Series
2.6
Rating
4.5
Difficulty
3.40
GPA
Fall 2020
Last Taught
 STAT 5430 | Statistical Computing with Python and R
2.0
Rating
3.7
Difficulty
3.62
GPA
Fall 2024
Last Taught
 STAT 6440 | Introduction to Bayesian Methods
Rating
Difficulty
3.44
GPA
Spring 2019
Last Taught
 STAT 7200 | Introduction to Advanced Probability
Rating
Difficulty
3.69
GPA
Fall 2024
Last Taught
 STAT 7510 | Advanced Topics in Statistical Inference
Rating
Difficulty
3.42
GPA
Spring 2022
Last Taught
 STAT 7610 | Advanced Inference
Rating
Difficulty
GPA
Spring 2024
Last Taught
 STAT 8120 | Topics in Statistics
Rating
Difficulty
GPA
Spring 2020
Last Taught