Uplift Modeling Made Easy
4.1 (11 ratings)
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Uplift Modeling Made Easy

Develop an uplift / incremental response model with interaction approach using a real-world modeling project as example
4.1 (11 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
37 students enrolled
Last updated 8/2014
English
Price: $50
30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • 1 Article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Learn how to develop an uplift response model from the beginning to the end
  • Learn how to interpret modeling results
  • Learn how to present modeling results to others
View Curriculum
Requirements
  • Microsoft Excel and PowerPoint or the similar softwares
  • SAS Software with Base/Stat/Graph Components
Description

In this class, I will show you how to develop an uplift / incremental response model through hands-on training.

In this 2-hr training course, I will walk you through the modeling approach and show you how to develop and validate the model step-by-step. Together, we will solve a real-world modeling project using SAS software. I will provide extensive demo on SAS coding, running codes, and explaining outputs for each step. All SAS codes and modeling data will be made available to you as well.

The goal for this training is for you to be able to develop a professional-level uplift / incremental model independently.

Who is the target audience?
  • Working professionals who want to learn predictive modeling skills
  • Graduates or undergraduates who want to explore their career opportunities in advanced analytics
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Curriculum For This Course
28 Lectures
02:11:58
+
Project
1 Lecture 03:05

Click the following link to download the modeling data set:

https://s3.amazonaws.com/AnalyticsOnlineCourses/Uplift/data/uplift_data.sas7bdat

Review modeling project, analytical challenge, and solution
03:05
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Data
1 Lecture 06:53
Modeling data, variables, and data snapshot
06:53
+
Methodology
3 Lectures 13:38
Uplift modeling methodology overview - Part 1
04:41

Uplift modeling methodology overview - Part 2
04:46

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Modeling
19 Lectures 01:32:50
Modeling process overview
02:31

Please save the sas codes 'Uplife Model Step 1.txt' as .sas file in order to run in sas software.

Please click the following link to download the sas macro:

https://s3.amazonaws.com/AnalyticsOnlineCourses/Uplift/code/sasmacr.sas7bcat

Step 1 - prepare data - data QC demo - Part 1
05:30

Step 1 - prepare data - data QC demo - Part 2
06:52

Step 1 - prepare data - data QC demo - Part 3
03:47

Step 1 - prepare data - data transformation demo
04:01

Please save sas code as .sas in order for you to run in sas software

Step 2 - variable reduction demo - Part 1
05:26

Step 2 - variable reduction demo - Part 2
04:06

Please save sas codes as .sas format so that you can run the code in sas software.

Step 3 - deep dive analysis demo - Part 1
07:20

Step 3 - deep dive analysis demo - Part 2
04:28

Step 3 - deep dive analysis demo - Part 3
06:03

Please save the sas codes as .sas format. So that you can run them in sas software.

Step 4 - variable transformations demo - Part 1
04:18

Step 4 - variable transformations demo - Part 2
05:04

Step 4 - variable transformations demo - Part 3
04:56

Step 4 - variable transformations demo - Part 4
04:32

Please save sas code as .sas format. So that you can run them in sas software.

Step 5 - develop and validate model demo - Part 1
04:44

Step 5 - develop and validate model demo - Part 2
04:34

Step 5 - develop and validate model demo - Part 3
05:26

Step 5 - develop and validate model demo - Part 4
04:39

Step 5 - develop and validate model demo - Part 5
04:33
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Results Summary
1 Lecture 03:25
Modeling result presentation
03:25
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Downloadable SAS Codes
1 Lecture 00:03

Please download and save as .sas in order to run in SAS software

SAS code and macros
00:03
About the Instructor
Predictive Analytics
3.8 Average rating
46 Reviews
2,117 Students
3 Courses
Advanced Analytics Made Simple

15+ years of professional experience on predictive modeling in different industries. Specialized in logistic regression, linear regression, generalized regression, survival analysis, decision tree, discriminant analysis, cluster analysis, and other advanced analytic. In-depth knowledge and experiences in customer acquisition, retention, and credit risk management. Developed training classes and taught classes to graduate students and other working professionals.