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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 ENV S 163A EEMB 146 SOC 205A MCDB 170 PSY 10A
Disallowed majors prbio aqbio biocm biocs mcrbi phrma prbpy prpbs zool
GRACE K
No info found
SSMS 1007
M W
16:00 PM - 16:50 PM
21 / 25

SSMS 1005
M W
14:00 PM - 14:50 PM
25 / 25 Full

SSMS 1005
M W
15:00 PM - 15:50 PM
25 / 25 Full

SSMS 1005
M W
16:00 PM - 16:50 PM
16 / 25

SSMS 1304
M W
17:00 PM - 17:50 PM
17 / 25

PHELP1525
M W
08:00 AM - 08:50 AM
19 / 25

SSMS 1007
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15:00 PM - 15:50 PM
25 / 25 Full

PHELP1525
M W
18:00 PM - 18:50 PM
10 / 25

PHELP1526
M W
11:00 AM - 11:50 AM
25 / 25 Full

PSY-E1806
M W
12:00 PM - 12:50 PM
25 / 25 Full

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