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 actsc stsds stsap stats
BARACALDO LAN
No info found
Lecture
CHEM 1171
T R
15:30 PM - 16:45 PM
62 / 80
Sections
PHELP1525
W
10:00 AM - 10:50 AM
11 / 20
PHELP1525
W
11:00 AM - 11:50 AM
17 / 20
PHELP1525
W
12:00 PM - 12:50 PM
14 / 20
PHELP1525
W
13:00 PM - 13:50 PM
20 / 20 Full
Spring 2024 . Baracaldo Lan
BUCHN1920
M W
09:30 AM - 10:45 AM
Winter 2024 . Oh Sang-Yun
PSYCH1924
T R
11:00 AM - 12:15 PM
See All
PSTAT 134 Baracaldo Lan Spring 2023 Total: 87
PSTAT 134 Oh Sang-Yun Fall 2023 Total: 80
PSTAT 126
100 / 100 Full
Regression Analysis
Pandey P
T R
14:00 PM - 15:15 PM
PSTAT 126
100 / 100 Full
Regression Analysis
Pandey P
T R
11:00 AM - 12:15 PM
PSTAT 127
81 / 125 Enrolled
Advanced Statistical Models
Wendy Meiring 3.0
T R
11:00 AM - 12:15 PM
PSTAT 130
102 / 125 Enrolled
SAS Base Programming
Julie Swenson 4.6
T
09:30 AM - 10:45 AM
PSTAT 131
78 / 80 Enrolled
Introduction to Statistical Machine Learning
T B A
T R
17:00 PM - 18:15 PM