Introduction to data science. Concepts of statistical thinking. Topics include random variables, sampling distributions, hypothesis testing, correlation and regression. Visualizing, analyzing and interpreting real world data using Python. Computing labs required.

No Prerequisites

5

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
GEs Area C Quant Relationships
Unlocks EEMB W 146 PSY 10A ENV S 163A EEMB 146 SOC 205A MCDB 170
Disallowed majors prbio aqbio biocm biocs mcrbi phrma prbpy prpbs zool
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PHELP1513
M W
11:00 AM - 11:50 AM
19 / 25

PHELP1513
M W
12:30 PM - 13:20 PM
6 / 25

PHELP1513
M W
14:00 PM - 14:50 PM
7 / 25

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Summer 2024 . T B A
PSYCH1902
M T W R
09:30 AM - 10:50 AM
Summer 2024 . T B A
HSSB 1173
M T W R
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PSTAT 5A Swenson J S Fall 2025 Total: 220
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