All majors

Statistics & Applied Probability - PSTAT

54 courses found

4.3 Julie Swenson
4.1 Amos Natido
3.1 Brian Wainwright
3.2 Dawn Holmes
2.4 Uma Ravat
4.7 Jack Miller
3.9 Mengyang Michael Gu
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PSTAT 5A
250 / 250 Full
Understanding Data
Julie Swenson 4.3
M W
08:00 AM - 09:15 AM
29.8% A
PSTAT 5H
0 / 30 Enrolled
Honors Seminar, Statistics
Amos Natido 4.1
M
10:00 AM - 10:50 AM
60.1% A
PSTAT 5LS
350 / 350 Full
Statistics for Life Sciences
Brian Wainwright 3.1
M W
11:00 AM - 12:15 PM
41.8% A
PSTAT 8
125 / 125 Full
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.2
T R
12:30 PM - 13:45 PM
45.3% A
PSTAT 10
300 / 300 Full
Principles of Data Science with R
Uma Ravat 2.4
T R
11:00 AM - 12:15 PM
51.9% A
PSTAT 100
112 / 150 Enrolled
Data Science Concepts and Analysis
Franks A
T R
12:30 PM - 13:45 PM
PSTAT 115
58 / 75 Enrolled
Introduction to Bayesian Data Analysis
Brian Wainwright 3.1
M W
09:30 AM - 10:45 AM
40.2% A
PSTAT 120A
63 / 100 Enrolled
Probability and Statistics
Carter A V
T R
09:30 AM - 10:45 AM
PSTAT 120A
268 / 275 Enrolled
Probability and Statistics
Natido A
T R
14:00 PM - 15:15 PM
PSTAT 120B
100 / 100 Full
Probability and Statistics
Amos Natido 4.1
M W
14:00 PM - 15:15 PM
31.8% A
PSTAT 120B
87 / 125 Enrolled
Probability and Statistics
Amos Natido 4.1
M W
08:00 AM - 09:15 AM
31.8% A
PSTAT 120C
125 / 125 Full
Probability and Statistics
Jack Miller 4.7
M W
11:00 AM - 12:15 PM
72.7% A
PSTAT 122
150 / 150 Full
Design and Analysis of Experiments
Abuzaid A H
M W
14:00 PM - 15:15 PM
PSTAT 126
100 / 100 Full
Regression Analysis
Mengyang Michael Gu 3.9
M W
09:30 AM - 10:45 AM
49.4% A
PSTAT 126
77 / 100 Enrolled
Regression Analysis
Adams A R
M W
12:30 PM - 13:45 PM
PSTAT 126
77 / 150 Enrolled
Regression Analysis
T B A
M W
12:30 PM - 13:45 PM
PSTAT 131
188 / 200 Enrolled
Introduction to Statistical Machine Learning
Coburn T
M W
17:00 PM - 18:15 PM
PSTAT 131
187 / 250 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
M W
17:00 PM - 18:15 PM
53.9% A
PSTAT 132
100 / 100 Full
Database Management for Data Analysis
Dawn Holmes 3.2
T R
11:00 AM - 12:15 PM
57.7% A
PSTAT 160A
150 / 150 Full
Applied Stochastic Processes
Ruimeng Hu 4.5
M W
11:00 AM - 12:15 PM
42.0% A
PSTAT 160B
96 / 100 Enrolled
Applied Stochastic Processes
T B A
M W
11:00 AM - 12:15 PM
PSTAT 170
100 / 100 Full
Introduction to Mathematical Finance
Michael Ludkovski 3.0
T R
12:30 PM - 13:45 PM
33.8% A
PSTAT 171
76 / 100 Enrolled
Mathematics of Fixed Income Markets
Hal Pedersen 2.1
T R
08:00 AM - 09:15 AM
33.4% A
PSTAT 173
70 / 75 Enrolled
Risk Theory
Hal Pedersen 2.1
T R
11:00 AM - 12:15 PM
40.9% A