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Ultimate AB Testing Course with Python Coding

سرفصل های دوره

Taught by a former Google Data Scientist, learn the theory and practice of AB testing based on real products


1. Introduction
  • 1.1 ABTestingCourse.zip
  • 1. Getting Started

  • 2. Understand the Business Problem
  • 1. Understand the Business Problem
  • 2. Experiment Goals
  • 3. Key Members
  • 4. Product KPI
  • 5. The North Star Metric
  • 6. Driver Metric
  • 7. Guardrail Metrics
  • 8. Secondary Metrics
  • 9. Segmentation Metrics
  • 10. Launch Criteria
  • 11. Experiment Data
  • 12. Exercise - Amazon AB Testing (Question)
  • 13. Exercise - Amazon AB Testing (Solution)
  • 14. Code Walkthrough

  • 3. State the Experiment Hypothesis
  • 1. State the Experiment Hypothesis
  • 2. Hypothesis Statement
  • 3. Hypothesis Statement - Question 1
  • 4. Hypothesis Statement - Solution 1
  • 5. Hypothesis Statement - Question 2
  • 6. Hypothesis Statement - Solution 2
  • 7. Significance Level
  • 8. Significance Level - Question
  • 9. Significance Level - Solution
  • 10. Statistical Power
  • 11. Statistical Power - Question 1
  • 12. Statistical Power - Solution 1
  • 13. Statistical Power - Question 2
  • 14. Statistical Power - Solution 2
  • 15. Minimum Detectable Effect (MDE)
  • 16. Minimum Detectable Effect - Question 1
  • 17. Minimum Detectable Effect - Solution 1
  • 18. Code Walkthrough

  • 4. Design the Experiment
  • 1. Design the Experiment
  • 2. Randomization Unit
  • 3. Sample Size Calculation
  • 4. Sample Size Calculation - Question 1
  • 5. Sample Size Calculation - Solution 1
  • 6. Experiment Duration
  • 7. Experiment Duration - Question 1
  • 8. Experiment Duration - Solution 1
  • 9. Code Walkthrough

  • 5. Run the Experiment
  • 1. Run the Experiment
  • 2. Experiment Platform
  • 3. Peeking at P-Values
  • 4. Code Walkthrough

  • 6. Assess Validity Threats
  • 1. Assess Validity Threats
  • 2. Stable Unit Treatment Value Assumption
  • 3. Survivorship Bias
  • 4. Sample Ratio Mismatch
  • 5. Primacy Effect
  • 6. Novelty Effect
  • 7. Holiday Effect
  • 8. Other Effects to Consider
  • 9. AA Test
  • 10. Code Walkthrough

  • 7. Conduct Statistical Inference
  • 1. Conduct Statistical Inference
  • 2. Chi-Squared Test of Independence
  • 3. Chi-Squared Test of Independence - Question
  • 4. Chi-Squared Test of Independence - Solution
  • 5. Z-Test for Proportions
  • 6. Z-Test for Proportions - Question
  • 7. Z-Test for Proportions - Solution
  • 8. T-Test for Means
  • 9. T-Test for Means - Question
  • 10. T-Test for Means - Solution
  • 11. Code Walkthrough

  • 8. Launch Decision
  • 1. Decide Whether to Launch
  • 2. Absolute Difference vs Relative Difference
  • 3. Launch Decisions
  • 4. Decision Rule
  • 5. Confidence Interval
  • 6. Holdout Set
  • 7. Code Walkthrough
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