All majors

Statistics & Applied Probability - PSTAT

53 courses found

4.3 Julie Swenson
4.7 Jack Miller
3.2 Dawn Holmes
2.4 Uma Ravat
3.0 Brian Wainwright
2.8 Wendy Meiring
2.3 Sang-Yun Oh
See all
PSTAT 5A
189 / 250 Enrolled
Understanding Data
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
32.3% A
PSTAT 5H
10 / 30 Enrolled
Honors Seminar, Statistics
Natido A
T
10:00 AM - 10:50 AM
96.8% A
PSTAT 5LS
350 / 350 Full
Statistics for Life Sciences
Jack Miller 4.7
T R
14:00 PM - 15:15 PM
39.7% A
PSTAT 8
76 / 150 Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.2
M W
12:30 PM - 13:45 PM
46.1% A
PSTAT 10
188 / 250 Enrolled
Principles of Data Science with R
Uma Ravat 2.4
W
11:00 AM - 12:15 PM
36.1% A
PSTAT 99
0 / 0 Full
Independent Studies in Statistics
T B A
PSTAT 100
99 / 99 Full
Data Science Concepts and Analysis
Zhang T
M W
08:00 AM - 09:15 AM
71.8% A
PSTAT 115
75 / 75 Full
Introduction to Bayesian Data Analysis
Brian Wainwright 3.0
M W
11:00 AM - 12:15 PM
41.9% A
PSTAT 120A
100 / 100 Full
Probability and Statistics
Puja Pandey 4.3
T R
11:00 AM - 12:15 PM
31.7% A
PSTAT 120A
156 / 225 Enrolled
Probability and Statistics
Brian Wainwright 3.0
T R
14:00 PM - 15:15 PM
31.7% A
PSTAT 120B
113 / 100 Full
Probability and Statistics
Jammalamadaka
T R
12:30 PM - 13:45 PM
40.2% A
PSTAT 120B
161 / 200 Enrolled
Probability and Statistics
Qu P
M W
11:00 AM - 12:15 PM
40.2% A
PSTAT 122
98 / 100 Enrolled
Design and Analysis of Experiments
Ali Abuzaid 4.0
T R
08:00 AM - 09:15 AM
52.8% A
PSTAT 122
100 / 100 Full
Design and Analysis of Experiments
Ali Abuzaid 4.0
T R
12:30 PM - 13:45 PM
52.8% A
PSTAT 126
100 / 100 Full
Regression Analysis
Puja Pandey 4.3
T R
15:30 PM - 16:45 PM
42.9% A
PSTAT 126
99 / 100 Enrolled
Regression Analysis
Karen GRIGORIAN 2.8
M W
18:30 PM - 19:45 PM
42.9% A
PSTAT 127
97 / 100 Enrolled
Advanced Statistical Models
Wendy Meiring 2.8
T R
17:00 PM - 18:15 PM
36.2% A
PSTAT 130
100 / 100 Full
SAS Base Programming
Julie Swenson 4.3
T
09:30 AM - 10:45 AM
35.7% A
PSTAT 131
104 / 104 Full
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
15:30 PM - 16:45 PM
58.5% A
PSTAT 131
104 / 104 Full
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
17:00 PM - 18:15 PM
58.5% A
PSTAT 134
124 / 125 Enrolled
Statistical Data Science
Sang-Yun Oh 2.3
T R
15:30 PM - 16:45 PM
55.0% A
PSTAT 160A
75 / 75 Full
Applied Stochastic Processes
V. PALANIAPPAN 2.9
M W
09:30 AM - 10:45 AM
38.9% A
PSTAT 160A
75 / 75 Full
Applied Stochastic Processes
V. PALANIAPPAN 2.9
M W
14:00 PM - 15:15 PM
38.9% A
PSTAT 160B
100 / 100 Full
Applied Stochastic Processes
Alexander Shkolnik 3.7
M W
17:00 PM - 18:15 PM
51.4% A