Techniques in Data Science
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Overview
Subject area
MAT
Catalog Number
328
Course Title
Techniques in Data Science
Department(s)
Description
Analyzing data sets to extract new insights. Acquisition, data mining, storage, and visualization of real world data using scripting and statistical programming languages. Application of standard statistical tools including hypothesis testing, Bayesian analysis, bootstrapping and regression. Classifying and clustering multidimensional data sets via dimensionality reduction and machine learning techniques.Pre-req: MAT 128 or permission of the department.
Typically Offered
Fall, Spring
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
4
Maximum Units
4
Academic Progress Units
4
Repeat For Credit
No
Components
Name
Lecture
Hours
4
Requisites
030427
Course Schedule
Schedule
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