Courses Taken:

STAT 4002: Regression with R Programming

STAT 4510: Statistical Learning with SAS and R

COURSE DESCRIPTION:

• Discriminant Analysis

• Tree Based Methods

• Semi-parametric regression

• Support Vector Machines

• Unsupervised Learning through clustering

• Logistic Regression

• 13 Supervised Regression Techniques

• Linear Regression

HOW IS IT USEFUL IN DATA SCIENCE?

• These regression techniques lay the methods used in data science for analysis, predictive modeling, and prescriptive analytics. See this link for a list of many regression techniques commonly used in data science.