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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 EEMB 146 ENV S 163A MCDB 170 SOC 205B PSY 10A
Disallowed majors prbio aqbio biocm biocs mcrbi envst phrma prbpy prpbs zool
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