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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
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 Spring 2024 Total: 32
CMPSC 5B Solis S W Winter 2024 Total: 33
CMPSC 5A
0 / 140 Closed
Introduction to Data Science 1
Solis S W
T R
08:00 AM - 09:15 AM
70.2% A
CMPSC 5A
58 / 175 Enrolled
Introduction to Data Science 1
Tanna A A
M W
08:00 AM - 09:15 AM
70.2% A
CMPSC 5A
1 / 140 Closed
Introduction to Data Science 1
T B A
T R
08:00 AM - 09:15 AM
70.2% A
CMPSC 8
150 / 150 Full
Introduction to Computer Science
Diba Mirza 4.7
T R
12:30 PM - 13:45 PM
53.5% A
CMPSC 8
206 / 218 Enrolled
Introduction to Computer Science
Diba Mirza 4.7
T R
12:30 PM - 13:45 PM
53.5% A
CMPSC 8
48 / 50 Enrolled
Introduction to Computer Science
Diba Mirza 4.7
T R
09:30 AM - 10:45 AM
53.5% A