MATH 1190 - Introduction to Data Science

Institution:

Southern Utah University

Subject:

Mathematics

Description:

This course introduces the analysis and visualization of data using a high-level computer programming language (e.g., R). It emphasizes conceptual understanding of the data science lifecycle, which includes data collection and organization, sampling and sampling bias, exploratory data analysis and visualization, statistical inference, and prediction. Inference and prediction topics include confidence intervals, hypothesis tests with one and two samples, chi-square tests, ANOVA, and linear regression. (Fall, Spring) [Graded (Standard Letter)] Prerequisite(s): MATH 1010 or MATH 1031 or adequate test score within the last two (2) years - Prerequisite Min Grade: C Is there a standardized test that serves as a prerequisite? If yes, what is the name of the test and minimum score? ACT Math Subscore (21) or ALEKS PPL (40)

Credits:

3.00

Credit Hours:

Prerequisites:

O O MATH 1010 O MATH 1031

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.suu.edu/

Phone Number:

(435) 586-7700

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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