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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Los Ingenieros
We are the Society of Hispanic Professional Engineers (SHPE) here at UCSB, and our vision is to enhance support for all our members throughout their higher education journey. Whether your interests are in engineering, mathematics, biology, or beyond, Los Ingenieros is dedicated to making a positive impact through professional growth and success, academic opportunities, community involvement, and networking for both our members and the local community. And most importantly, you don’t have to be an engineer, in STEM, or Hispanic to join; we welcome everyone!
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BUCHN1940
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ILP 2207
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PSTAT 100 Zhang T Fall 2025 Total: 90
PSTAT 100 Marzban E P Summer 2025 Total: 45
PSTAT 99
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Independent Studies in Statistics
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Introduction to Bayesian Data Analysis
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PSTAT 120A
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Probability and Statistics
Andrew Carter 3.0
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Jack Miller 4.6
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Uma Ravat 2.4
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PSTAT 120B
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