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Statistics & Applied Probability - PSTAT

52 courses found

4.3 Julie Swenson
3.0 Brian Wainwright
4.8 Alexander Franks
4.4 Sreenivasa Jammalamadaka
2.4 Uma Ravat
2.8 Wendy Meiring
2.9 Guo Yu
See all
PSTAT 5A
25 / 125 Enrolled
Understanding Data
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
32.5% A
PSTAT 5H
1 / 30 Enrolled
Honors Seminar, Statistics
T B A
M
10:00 AM - 10:50 AM
96.9% A
PSTAT 5LS
27 / 200 Enrolled
Statistics for Life Sciences
Brian Wainwright 3.0
M W
12:30 PM - 13:45 PM
39.4% A
PSTAT 8
13 / 25 Enrolled
Transition to Data Science, Probability and Statistics
Karen GRIGORIAN 2.6
T R
15:30 PM - 16:45 PM
47.7% A
PSTAT 8
1 / 25 Enrolled
Transition to Data Science, Probability and Statistics
Karen GRIGORIAN 2.6
T R
17:00 PM - 18:15 PM
47.7% A
PSTAT 10
16 / 100 Enrolled
Principles of Data Science with R
T B A
M W
08:00 AM - 09:15 AM
36.6% A
PSTAT 100
99 / 100 Enrolled
Data Science Concepts and Analysis
T B A
M W
08:00 AM - 09:15 AM
69.2% A
PSTAT 115
100 / 100 Full
Introduction to Bayesian Data Analysis
Alexander Franks 4.8
M W
12:30 PM - 13:45 PM
42.5% A
PSTAT 120A
13 / 45 Enrolled
Probability and Statistics
Sreenivasa Jammalamadaka 4.4
T R
12:30 PM - 13:45 PM
31.5% A
PSTAT 120A
26 / 185 Enrolled
Probability and Statistics
Katie Coburn 3.3
T R
17:00 PM - 18:15 PM
31.5% A
PSTAT 120B
42 / 100 Enrolled
Probability and Statistics
Brian Wainwright 3.0
M W
11:00 AM - 12:15 PM
40.5% A
PSTAT 120B
13 / 250 Enrolled
Probability and Statistics
Uma Ravat 2.4
T R
14:00 PM - 15:15 PM
40.5% A
PSTAT 120C
36 / 97 Enrolled
Probability and Statistics
Miller J B
T R
15:30 PM - 16:45 PM
47.2% A
PSTAT 122
98 / 100 Enrolled
Design and Analysis of Experiments
Ali Abuzaid 3.6
M W
11:00 AM - 12:15 PM
50.5% A
PSTAT 122
15 / 125 Enrolled
Design and Analysis of Experiments
Ali Abuzaid 3.6
M W
08:00 AM - 09:15 AM
50.5% A
PSTAT 126
59 / 100 Enrolled
Regression Analysis
Puja Pandey 4.3
M W
17:00 PM - 18:15 PM
42.3% A
PSTAT 126
87 / 100 Enrolled
Regression Analysis
Puja Pandey 4.3
M W
12:30 PM - 13:45 PM
42.3% A
PSTAT 127
29 / 100 Enrolled
Advanced Statistical Models
Wendy Meiring 2.8
M W
14:00 PM - 15:15 PM
36.2% A
PSTAT 130
28 / 100 Enrolled
SAS Base Programming
Julie Swenson 4.3
T R
09:30 AM - 10:45 AM
35.8% A
PSTAT 131
80 / 80 Full
Introduction to Statistical Machine Learning
Guo Yu 2.9
M W
12:30 PM - 13:45 PM
58.3% A
PSTAT 131
80 / 80 Full
Introduction to Statistical Machine Learning
Guo Yu 2.9
M W
11:00 AM - 12:15 PM
58.3% A
PSTAT 160A
75 / 75 Full
Applied Stochastic Processes
Tomoyuki Ichiba 3.8
M W
14:00 PM - 15:15 PM
38.0% A
PSTAT 160A
21 / 75 Enrolled
Applied Stochastic Processes
V. PALANIAPPAN 3.7
T R
17:00 PM - 18:15 PM
38.0% A
PSTAT 160B
57 / 75 Enrolled
Applied Stochastic Processes
V. PALANIAPPAN 3.7
T R
18:30 PM - 19:45 PM
49.7% A