All majors

Statistics & Applied Probability - PSTAT

44 courses found

4.3 Amos Natido
3.1 Brian Wainwright
3.2 Dawn Holmes
4.6 Jack Miller
3.0 Andrew Carter
2.4 Uma Ravat
4.2 Ali Abuzaid
See all
Los Ingenieros logo
Los Ingenieros
We are the Society of Hispanic Professional Engineers (SHPE) here at UCSB, and our vision is to enhance support for all our members throughout their higher education journey. Whether your interests are in engineering, mathematics, biology, or beyond, Los Ingenieros is dedicated to making a positive impact through professional growth and success, academic opportunities, community involvement, and networking for both our members and the local community. And most importantly, you don’t have to be an engineer, in STEM, or Hispanic to join; we welcome everyone!
Promoted

See What Los Ingenieros Is All About

Check out our board, achievements, events, and more on our website!

Visit website
PSTAT 5A
0 / 200 Enrolled
Understanding Data
Amos Natido 4.3
T R
11:00 AM - 12:15 PM
33.5% A
PSTAT 5LS
0 / 350 Enrolled
Statistics for Life Sciences
Brian Wainwright 3.1
M W
14:00 PM - 15:15 PM
41.8% A
PSTAT 8
0 / 75 Enrolled
Transition to Data Science, Probability and Statistics
Dawn Holmes 3.2
M W
12:30 PM - 13:45 PM
45.3% A
PSTAT 10
0 / 250 Enrolled
Principles of Data Science with R
Dawn Holmes 3.2
M W
11:00 AM - 12:15 PM
46.9% A
PSTAT 99
0 / 0 Full
Independent Studies in Statistics
T B A
PSTAT 100
0 / 125 Enrolled
Data Science Concepts and Analysis
T B A
T R
12:30 PM - 13:45 PM
PSTAT 115
0 / 125 Enrolled
Introduction to Bayesian Data Analysis
Brian Wainwright 3.1
T R
09:30 AM - 10:45 AM
40.2% A
PSTAT 120A
0 / 200 Enrolled
Probability and Statistics
Jack Miller 4.6
T R
11:00 AM - 12:15 PM
46.1% A
PSTAT 120A
0 / 100 Enrolled
Probability and Statistics
Andrew Carter 3.0
M W
14:00 PM - 15:15 PM
38.8% A
PSTAT 120B
0 / 150 Enrolled
Probability and Statistics
Uma Ravat 2.4
M W
11:00 AM - 12:15 PM
30.2% A
PSTAT 120B
0 / 150 Enrolled
Probability and Statistics
Uma Ravat 2.4
M W
14:00 PM - 15:15 PM
30.2% A
PSTAT 122
0 / 200 Enrolled
Design and Analysis of Experiments
Ali Abuzaid 4.2
M W
09:30 AM - 10:45 AM
74.0% A
PSTAT 123
0 / 100 Enrolled
Sampling Techniques
Sreenivasa Jammalamadaka 4.3
T R
14:00 PM - 15:15 PM
67.5% A
PSTAT 126
0 / 125 Enrolled
Regression Analysis
Guo Yu 2.8
M W
11:00 AM - 12:15 PM
52.6% A
PSTAT 126
0 / 100 Enrolled
Regression Analysis
Ali Abuzaid 4.2
M W
12:30 PM - 13:45 PM
49.7% A
PSTAT 127
0 / 150 Enrolled
Advanced Statistical Models
Wendy Meiring 2.8
T R
15:30 PM - 16:45 PM
60.2% A
PSTAT 130
0 / 200 Enrolled
SAS Base Programming
Julie Swenson 4.3
M W
08:00 AM - 09:15 AM
32.9% A
PSTAT 131
0 / 200 Enrolled
Introduction to Statistical Machine Learning
Guo Yu 2.8
M W
17:00 PM - 18:15 PM
49.6% A
PSTAT 133
0 / 50 Enrolled
Statistical Deep Learning for Artificial Intelligence
Mengyang Michael Gu 3.9
M W
09:30 AM - 10:45 AM
58.4% A
PSTAT 134
0 / 200 Enrolled
Statistical Data Science
Tony Coburn 5.0
T R
15:30 PM - 16:45 PM
64.4% A
PSTAT 160A
0 / 150 Enrolled
Applied Stochastic Processes
Tomoyuki Ichiba 3.7
M W
12:30 PM - 13:45 PM
43.3% A
PSTAT 160B
0 / 150 Enrolled
Applied Stochastic Processes
Alexander Shkolnik 3.7
M W
17:00 PM - 18:15 PM
44.9% A
PSTAT 170
0 / 100 Enrolled
Introduction to Mathematical Finance
Michael Ludkovski 3.0
T R
09:30 AM - 10:45 AM
33.8% A
PSTAT 172A
0 / 50 Enrolled
Actuarial Statistics I
Hal Pedersen 2.1
M W
08:00 AM - 09:15 AM
44.7% A