Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research in preparation for advanced data science courses. Topics include an introduction to inference and prediction, principles of measurement, missing data, and notions of causality, statistical traps, and concepts in data ethics and privacy.

Prerequisites: PSTAT 120A; CS 9 or CS 16; and Math 4A, all with letter grade C or better.

4

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
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ZHANG T
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ILP 4105
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09:00 AM - 09:50 AM
27 / 25 Full

NH 1111
T
10:00 AM - 10:50 AM
29 / 25 Full

ILP 3207
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14:00 PM - 14:50 PM
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GIRV 1116
T
12:00 PM - 12:50 PM
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Fall 2025 . Zhang T
BUCHN1940
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Spring 2024 . T B A
BUCHN1940
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PSTAT 100 Zhang T Fall 2025 Total: 90
PSTAT 100 Marzban E P Summer 2025 Total: 45
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