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Statistics & Applied Probability - PSTAT
Winter 2025
Fall 2024
Summer 2024
Spring 2024
Winter 2024
≤ 1 units
≤ 2 units
≤ 3 units
≤ 4 units
≤ 5 units
≤ 6 units
≤ 7 units
≤ 8 units
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Not full
55 courses found
4.3
Julie Swenson
2.7
Wendy Meiring
4.9
Jack Miller
3.4
Dawn Holmes
2.2
Uma Ravat
5.0
Alexander Franks
3.1
Andrew Carter
See all
PSTAT 5A
232 / 250
Enrolled
Understanding Data
Julie Swenson
4.3
T
08:00 AM - 09:15 AM
32.6% A
PSTAT 5H
11 / 30
Enrolled
Honors Seminar, Statistics
Wendy Meiring
2.7
M
10:00 AM - 10:50 AM
96.9% A
PSTAT 5LS
350 / 350
Full
Statistics for Life Sciences
Jack Miller
4.9
T
R
15:30 PM - 16:45 PM
37.6% A
PSTAT 8
87 / 100
Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes
3.4
T
R
12:30 PM - 13:45 PM
52.1% A
PSTAT 8
47 / 75
Enrolled
Transition to Data Science, Probability and Statistics
T B A
M
W
12:30 PM - 13:45 PM
52.1% A
PSTAT 10
250 / 250
Full
Principles of Data Science with R
Uma Ravat
2.2
W
F
14:00 PM - 15:15 PM
37.1% A
PSTAT 99
0 / 0
Full
Independent Studies in Statistics
T B A
PSTAT 100
125 / 125
Full
Data Science Concepts and Analysis
Alexander Franks
5.0
M
W
14:00 PM - 15:15 PM
65.8% A
PSTAT 105
100 / 100
Full
Introduction to Nonparametric Methods
Andrew Carter
3.1
T
R
08:00 AM - 09:15 AM
40.7% A
PSTAT 115
75 / 75
Full
Introduction to Bayesian Data Analysis
Laura Baracaldo
1.8
T
R
15:30 PM - 16:45 PM
45.6% A
PSTAT 120A
100 / 100
Full
Probability and Statistics
Brian Wainwright
3.0
M
W
11:00 AM - 12:15 PM
30.9% A
PSTAT 120A
278 / 300
Enrolled
Probability and Statistics
Brian Wainwright
3.0
M
W
14:00 PM - 15:15 PM
30.9% A
PSTAT 120B
124 / 125
Enrolled
Probability and Statistics
Uma Ravat
2.2
W
F
12:30 PM - 13:45 PM
40.0% A
PSTAT 120B
150 / 150
Full
Probability and Statistics
Katie Coburn
3.4
T
R
17:00 PM - 18:15 PM
40.0% A
PSTAT 120B
64 / 100
Enrolled
Probability and Statistics
Abuzaid A H
T
R
08:00 AM - 09:15 AM
40.0% A
PSTAT 122
100 / 100
Full
Design and Analysis of Experiments
Chi P
M
W
09:30 AM - 10:45 AM
45.4% A
PSTAT 122
107 / 125
Enrolled
Design and Analysis of Experiments
Chi P
M
W
08:00 AM - 09:15 AM
45.4% A
PSTAT 126
43 / 100
Enrolled
Regression Analysis
Abuzaid A H
T
R
11:00 AM - 12:15 PM
40.0% A
PSTAT 126
104 / 125
Enrolled
Regression Analysis
Yuedong Wang
3.1
M
W
12:30 PM - 13:45 PM
40.0% A
PSTAT 126
100 / 100
Full
Regression Analysis
Puja Pandey
4.3
T
R
17:00 PM - 18:15 PM
40.0% A
PSTAT 130
125 / 125
Full
SAS Base Programming
Julie Swenson
4.3
T
09:30 AM - 10:45 AM
36.1% A
PSTAT 131
80 / 80
Full
Introduction to Statistical Machine Learning
Guo Yu
3.1
T
R
12:30 PM - 13:45 PM
58.1% A
PSTAT 131
80 / 80
Full
Introduction to Statistical Machine Learning
Guo Yu
3.1
T
R
11:00 AM - 12:15 PM
58.1% A
PSTAT 134
92 / 100
Enrolled
Statistical Data Science
Katie Coburn
3.4
T
R
12:30 PM - 13:45 PM
49.6% A
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