Uplift Modeling Made Easy

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course objectives, course outlines, and pre-requisites

Lecture 2: What is uplift modeling, its basic concepts, and its applications

Chapter 2: Project

Lecture 1: Review modeling project, analytical challenge, and solution

Chapter 3: Data

Lecture 1: Modeling data, variables, and data snapshot

Chapter 4: Methodology

Lecture 1: Uplift modeling methodology overview – Part 1

Lecture 2: Uplift modeling methodology overview – Part 2

Lecture 3: Uplift modeling methodology overview – Part 3

Chapter 5: Modeling

Lecture 1: Modeling process overview

Lecture 2: Step 1 – prepare data – data QC demo – Part 1

Lecture 3: Step 1 – prepare data – data QC demo – Part 2

Lecture 4: Step 1 – prepare data – data QC demo – Part 3

Lecture 5: Step 1 – prepare data – data transformation demo

Lecture 6: Step 2 – variable reduction demo – Part 1

Lecture 7: Step 2 – variable reduction demo – Part 2

Lecture 8: Step 3 – deep dive analysis demo – Part 1

Lecture 9: Step 3 – deep dive analysis demo – Part 2

Lecture 10: Step 3 – deep dive analysis demo – Part 3

Lecture 11: Step 4 – variable transformations demo – Part 1

Lecture 12: Step 4 – variable transformations demo – Part 2

Lecture 13: Step 4 – variable transformations demo – Part 3

Lecture 14: Step 4 – variable transformations demo – Part 4

Lecture 15: Step 5 – develop and validate model demo – Part 1

Lecture 16: Step 5 – develop and validate model demo – Part 2

Lecture 17: Step 5 – develop and validate model demo – Part 3

Lecture 18: Step 5 – develop and validate model demo – Part 4

Lecture 19: Step 5 – develop and validate model demo – Part 5

Chapter 6: Results Summary

Lecture 1: Modeling result presentation

Chapter 7: Downloadable SAS Codes

Lecture 1: SAS code and macros