DS-300
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Applied Statistics
Subject code
DS
Course Number
300
Course Title
Applied Statistics
Course Description
This course builds on the Elementary Statistics course enabling students to do more complex data analysis and interpretation of results using tools that are common in Data Science. Topics may include: Simple Regression, Multiple Regression, Logistic Regression, One-Way and Two-Way Analysis of Variance, and Bootstrap Methods. A software package such as R will be used extensively.
Credit Hours Min
3
Session Cycle
Fall Only
Yearly Cycle
Every Year
Grade Scheme
A-F Undergraduate Grade Scheme