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PSTAT100

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PSTAT 100 - Data Science Concepts and Analysis

Statistics & Applied Probability College of Letters and Science

Full Course Title

Data Science Concepts and Analysis

Instructor Name(s)

STAFF

Course Description

Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research. 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. Case studies illustrate the importance of domain knowledge.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Recommended Preparation

PSTAT 120B recommended, but can be taken concurrently.

Prerequisites

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