All majors

Statistics & Applied Probability - PSTAT

55 courses found

4.3 Julie Swenson
2.8 Wendy Meiring
4.8 Jack Miller
3.3 Dawn Holmes
2.3 Uma Ravat
5.0 Alexander Franks
3.1 Andrew Carter
See all
PSTAT 5A
247 / 250 Enrolled
Understanding Data
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
32.6% A
PSTAT 5H
12 / 30 Enrolled
Honors Seminar, Statistics
Wendy Meiring 2.8
M
10:00 AM - 10:50 AM
96.9% A
PSTAT 5LS
350 / 350 Full
Statistics for Life Sciences
Jack Miller 4.8
T R
15:30 PM - 16:45 PM
37.6% A
PSTAT 8
43 / 50 Enrolled
Transition to Data Science, Probability and Statistics
T B A
M W
12:30 PM - 13:45 PM
52.1% A
PSTAT 8
84 / 100 Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.3
T R
12:30 PM - 13:45 PM
52.1% A
PSTAT 10
250 / 250 Full
Principles of Data Science with R
Uma Ravat 2.3
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
127 / 125 Full
Data Science Concepts and Analysis
Alexander Franks 5.0
M W
14:00 PM - 15:15 PM
65.8% A
PSTAT 105
95 / 100 Enrolled
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 1.9
T R
15:30 PM - 16:45 PM
45.6% A
PSTAT 120A
300 / 300 Full
Probability and Statistics
Brian Wainwright 3.1
M W
14:00 PM - 15:15 PM
30.9% A
PSTAT 120A
100 / 100 Full
Probability and Statistics
Brian Wainwright 3.1
M W
11:00 AM - 12:15 PM
30.9% A
PSTAT 120B
69 / 75 Enrolled
Probability and Statistics
Ali Abuzaid 3.0
T R
08:00 AM - 09:15 AM
40.0% A
PSTAT 120B
124 / 125 Enrolled
Probability and Statistics
Uma Ravat 2.3
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 122
99 / 100 Enrolled
Design and Analysis of Experiments
Peter Chi 4.9
M W
09:30 AM - 10:45 AM
45.4% A
PSTAT 122
99 / 125 Enrolled
Design and Analysis of Experiments
Peter Chi 4.9
M W
08:00 AM - 09:15 AM
45.4% A
PSTAT 126
45 / 75 Enrolled
Regression Analysis
Ali Abuzaid 3.0
T R
11:00 AM - 12:15 PM
40.0% A
PSTAT 126
99 / 100 Enrolled
Regression Analysis
Puja Pandey 4.3
T R
17:00 PM - 18:15 PM
40.0% A
PSTAT 126
84 / 100 Enrolled
Regression Analysis
Yuedong Wang 3.1
M W
12:30 PM - 13:45 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
90 / 100 Enrolled
Statistical Data Science
Katie Coburn 3.4
T R
12:30 PM - 13:45 PM
49.6% A