CSCI 39542 - Intro to Data Science

Overview

Department(s)

Description

This topics course focuses on computational methods and statistical techniques to analyze data and make inferences. Topics include data collection and cleaning, exploratory data analysis and visualization, and statistical inference and prediction. Students will acquire a working knowledge of data science through hands-on projects with real-world data. Basic proficiency in statistics and Python programming is assumed, as well as experience with matrix algebra or abstract data structures.

Typically Offered

Fall, Spring

Academic Career

Undergraduate

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

035346

Course Schedule

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