STAT 3080
From Data to Knowledge
Course Description
Prerequisites
A prior course in statistics and a prior course in programming
Disciplines
Quantification, Computation & Data Analysis
This course introduces methods to approach uncertainty and variation inherent in elementary statistical techniques from multiple angles. Simulation techniques such as the bootstrap will also be used. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using R. Prerequisite: A prior course in statistics and a prior course in programming.
Instructors
Jeffrey Woo
Fall 2026
tuth 3:30pm - 4:45pm
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Rating
—
Difficulty
—
GPA
Harsimran Somal
Spring 2026
mowe 5:00pm - 6:15pm
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Rating
—
Difficulty
3.85
GPA
Maria Ferrara
Summer 2025
motuwethfr 10:30am - 12:45pmsa 10:30am - 12:45pm
2.3
Rating
1.0
Difficulty
3.55
GPA
Taylor Brown
Spring 2025
MoWe 2:00pm - 3:15pm
3.2
Rating
3.0
Difficulty
3.74
GPA
Gretchen Martinet
Fall 2023
TuTh 11:00am - 12:15pm
3.4
Rating
2.6
Difficulty
3.64
GPA
- -
Spring 2023
TuTh 9:30am - 10:45am
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Rating
—
Difficulty
—
GPA
Evan Bagley
Spring 2023
TuTh 12:30pm - 1:45pm
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Rating
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Difficulty
—
GPA
Isabella Femia
Spring 2023
TuTh 9:30am - 10:45am
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Rating
—
Difficulty
—
GPA
Jeffrey Holt
Spring 2023
TuTh 9:30am - 10:45am
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Rating
—
Difficulty
—
GPA
Krista Varanyak
Spring 2023
TuTh 12:30pm - 1:45pm
3.3
Rating
3.0
Difficulty
3.46
GPA
Karen Kafadar
Spring 2022
TuTh 11:00am - 12:15pm
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Rating
—
Difficulty
3.81
GPA
Richard Ross
January 2021
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Rating
—
Difficulty
3.71
GPA
Gianluca Guadagni
Fall 2016
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Rating
—
Difficulty
3.26
GPA
Heather Cook
Spring 2016
1.0
Rating
4.8
Difficulty
3.37
GPA
Caitlin Steiner
Spring 2016
3.0
Rating
3.2
Difficulty
3.25
GPA
Minh Pham
Fall 2015
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Rating
—
Difficulty
3.42
GPA
Faculty Staff
Spring 2015
2.7
Rating
3.0
Difficulty
—
GPA
Malathi Veeraraghavan
Fall 2014
—
Rating
—
Difficulty
3.22
GPA
Ala Abdelbaki
Fall 2013
4.0
Rating
4.0
Difficulty
3.63
GPA
Theodore Chang
Fall 2011
2.8
Rating
3.3
Difficulty
3.48
GPA