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IND 123
Data Analytics: Basic Methods
This course is an introduction to R, analyzing and exploring data with R, and using R with a database. It focuses on statistics for model building and evaluation. Topics cover experimental research, correlation analysis, regression, confidence intervals, and group comparisons, and parametric and non-parametric models.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Prerequisites
None
Co-Requisites
None
Antirequisites
None
Custom Requisites
None
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.
- HIM 408 - Statistics for Health Services Managers
- MTH 642 - Data Analytics: Advanced Methods
- Open Elective Table
