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Detect and Reduce Sample Bias in Predictive Analytics

Learn how to prevent one of the most common mistakes in Predictive Analytics
3.2 (26 ratings)
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2,039 students enrolled
Last updated 7/2014
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  • 30 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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One of the most common mistakes an analyst could make during a predictive modeling project is ignorance of sample bias in their data. The cost of making such mistake can be quite substantial to an organization's business outcome.

In this 30-min video course, we will share with you some secrets on how to avoid this mistake. You will learn the following topics:

  • What is sample bias, what cause sample bias, and why it is important to you?
  • Two different approaches to detect sample bias
  • Three different approaches to correct or reduce sample bias

At the end of the class, you should have gained sufficient knowledge to help you detect and reduce sample bias in future predictive modeling or advanced analytics projects.

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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What Will I Learn?
Become awareness of sample bias in data analysis practice
Learn how to detect and correct sample bias in predictive analytics
View Curriculum
  • Understanding of Basic Predictive Analytics Concepts
Curriculum For This Course
Expand All 10 Lectures Collapse All 10 Lectures 30:11
Introduction and motivation
4 Lectures 15:37

Explain the concept of sample bias with an illustration

Preview 02:17

Identify major sources of sample bias in practice with a real-world example

Explain why we should be concerned with sample bias through a credit risk modeling example

Preview 03:43

Example of sample bias in credit risk modeling

Preview 03:04

Detailed example on how a sample biases can lead to poor business outcome

Preview 06:33
How to detect sample bias
2 Lectures 05:36

Discuss sample bias detection approach 1: relationship pattern analysis

Sample bias detection approach 1

Discuss sample bias detection approach 2: variable distribution analysis

Sample bias detection approach 2
How to reduce sample bias
3 Lectures 07:57

Discuss sample bias reduction approach 1: random sample test

Approach 1: Random Sample Test

Discuss sample bias reduction approach 1: bias reduction modeling

Approach 2: Bias Reduction Modeling

Discuss sample bias reduction approach 1: reject inference

Approach 3: Reject Inference
Key learnings
1 Lecture 01:01

Discuss 3 key takeways from this course

Key takeaways
About the Instructor
3.7 Average rating
38 Reviews
2,105 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.

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