Students explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. The course focus is on transforming and analyzing data; machine learning methods including regression, classification and clustering; principles behind data visualizations; concepts of measurement error and prediction; and techniques for scalable data processing.

Prerequisites: Computer Science 5A or Computer Science 8 or ECE 3 with a grade of C or better.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
GEs Area C Quant Relationships
Disallowed majors cmpsc
SOLIS S W
No info found
Lecture
ILP 2211
M W
09:30 AM - 10:45 AM
1 / 100 Closed
Sections
PHELP1440
F
12:00 PM - 12:50 PM
1 / 34
PHELP1440
F
13:00 PM - 13:50 PM
0 / 33
PHELP1440
F
14:00 PM - 14:50 PM
0 / 33
Winter 2024 . Solis S W
ILP 2211
T R
12:30 PM - 13:45 PM
Spring 2024 . Solis S W
ILP 2211
T R
15:30 PM - 16:45 PM
See All
CMPSC 5B Solis S W Fall 2022 Total: 13
CMPSC 5B Solis S W Spring 2022 Total: 32
CMPSC 5A
1 / 140 Closed
Introduction to Data Science 1
T B A
T R
08:00 AM - 09:15 AM
CMPSC 5A
38 / 50 Enrolled
Introduction to Data Science 1
Tanna A A
M W
08:00 AM - 09:15 AM
CMPSC 5A
0 / 140 Closed
Introduction to Data Science 1
Solis S W
T R
08:00 AM - 09:15 AM
CMPSC 8
24 / 150 Enrolled
Introduction to Computer Science
Diba Mirza 5.0
T R
12:30 PM - 13:45 PM
CMPSC 8
1 / 50 Enrolled
Introduction to Computer Science
Diba Mirza 5.0
T R
09:30 AM - 10:45 AM
CMPSC 9
9 / 147 Enrolled
Intermediate Python Programming
Burk K T
T R
17:00 PM - 18:15 PM