Applications of advanced data science tools for data retrieval, statistical analysis and machine learning, optimization, and visualization. Multiple case studies will illustrate the practical use of these tools.

Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 (preferred) or Computer Science16. A minimum letter grade of C or better must be earned in each course.

4

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
These majors only finms stsds actsc stsap stats
BARACALDO LAN
No info found
PHELP1525
R
12:00 PM - 12:50 PM
20 / 20 Full

PHELP1525
R
13:00 PM - 13:50 PM
20 / 20 Full

PHELP1525
R
14:00 PM - 14:50 PM
20 / 20 Full

PHELP1525
R
15:00 PM - 15:50 PM
20 / 20 Full

PHELP1525
R
16:00 PM - 16:50 PM
0 / 20

See All
Spring 2025 . Baracaldo Lan
TD-W 1701
T R
12:30 PM - 13:45 PM
Winter 2024 . Oh Sang-Yun
PSYCH1924
T R
11:00 AM - 12:15 PM
See All
PSTAT 134 Baracaldo Lan Spring 2024 Total: 70
PSTAT 134 Baracaldo Lan Spring 2023 Total: 87
PSTAT 122
100 / 100 Full
Design and Analysis of Experiments
Saha Ray R
M W
11:00 AM - 12:15 PM
50.5% A
PSTAT 126
76 / 100 Enrolled
Regression Analysis
Saad Mouti 2.4
T R
08:00 AM - 09:15 AM
42.3% A
PSTAT 126
90 / 90 Full
Regression Analysis
Pandey P
T R
12:30 PM - 13:45 PM
42.3% A
PSTAT 126
0 / 100 Enrolled
Regression Analysis
T B A
M W
08:00 AM - 09:15 AM
42.3% A
PSTAT 130
125 / 125 Full
SAS Base Programming
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
35.8% A
PSTAT 131
100 / 100 Full
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
15:30 PM - 16:45 PM
58.3% A