DATA 370 - Statistical Learning

Institution:

Westminster College (Salt Lake City)

Subject:

Description:

Statistical learning is a broad term that refers to any statistical technique that seeks to estimate the relationships among data. Modern advances in computational power allow us to use technology to build a wide array of models to analyze increasingly complex data sets. This course will explore the theory and application of statistical learning techniques such as clustering, regression, discriminant analysis, resampling, regularization, splines, generalized additive models, and Bayesian inference. We will use the statistical language R for analysis and R Markdown for the presentation of statistical analysis.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.westminstercollege.edu

Phone Number:

(801) 484-7651

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Four-one-four plan

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