University of Colorado Boulder - Predictive Modeling and Analytics 

Introduction to the Course

Introduction to the Module. Why Exploratory Data Analysis is Important

Data Cleanup and Transformation

Dealing With Missing Values

Dealing with Outliers

Adding and Removing Variables

Common Graphs

What is Good Data Visualization?

WEEK-2: Predicting a Continuous Variable

Introduction to Predictive Modeling

Introduction to Linear Regression

Assessing Predictive Accuracy Using Cross-Validation

Multiple Regression

Improving Model Fit

Model Selection

Challenges of Predictive Modeling

7How to Build a Model using XLMiner

WEEK-3-Predicting a Binary Outcome

Introduction to classification

1. Introduction to Logistic Regression

Building Logistic Regression Model

Multiple Logistic Regression

Cross Validation and Confusion Matrix

Cost Sensitive Classification

Comparing Models Independent of Costs and Cutoffs

Building Logistic Regression Models using XLMiner

WEEK-4-Trees and Other Predictive Models

Introduction to Advanced Predictive Modeling Techniques

Introduction to Trees

Classification Trees

Regression Trees

Bagging, Boosting, Random Forest

Building Trees with XLMiner

Neural Networks

Building Neural Networks using XLMiner