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BANA 7038 Data Analytics Methods

Syllabus

Chapter 1 Introduction

R Programming

Chapter 2 Simple Linear Regression Part I, Part II, Part III

Chapter 2 Excercise

Chapter 3 Multiple Linear Regression

Chapter 4 Model Adequacy Checking

Chapter 5 Model Validation

Chapter 5.5 A real example: Moneyball

Chapter 6 Transformation

Chapter 7 Confounder

Chapter 8 Multicollinearity

Chapter 9 Diagnostics for Leverage and Influence

Chapter 10 Indicator Variables

Chapter 11 Logistic Regression

Chapter 12 Polynomial Regression

Chapter 13 Variable selection

Chapter 14 unsupervised learning methods

Chapter 15 tree models