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 ENV S 163A EEMB W 146 EEMB 146 PSY 10A MCDB 170 SOC 205A
Disallowed majors prbio aqbio biocm biocs mcrbi envst phrma prbpy prpbs zool
T B A
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HSSB 1173
M T W R
08:00 AM - 09:20 AM
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PSYCH1902
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PSTAT 5A Mouminoux C Spring 2024 Total: 258
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Understanding Data
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M T W R
08:00 AM - 09:20 AM
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Statistics for Life Sciences
Jack Miller 4.8
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09:30 AM - 10:50 AM
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PSTAT 8
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Transition to Data Science, Probability and Statistics
Doris Padilla 2.9
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12:30 PM - 13:50 PM
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Transition to Data Science, Probability and Statistics
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12:30 PM - 13:50 PM
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Principles of Data Science with R
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11:00 AM - 12:20 PM
37.1% A
PSTAT 10
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Principles of Data Science with R
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M T W R
11:00 AM - 12:20 PM
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PSTAT 100
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Data Science Concepts and Analysis
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M T W R
12:30 PM - 13:35 PM
65.8% A