A/B Testing in Python

Learn How To Define, Start, And Analyze The Results Of An A/B Test. Improve Business Performance Through A/B Testing

A/B testing is a tool that helps companies make reliable decisions based on data. This is one of the fundamental skills you need to land a job as a data scientist or data analyst. Do you want to become a data scientist or a data analyst? If you do, this is the perfect course for you! Your instructor Anastasia is a senior data scientist working at a Stockholm-based music streaming startup. She has earned two Master’s degrees in Business Intelligence and Computer Science, and grown from a recent graduate to a Senior role in just 3 years. Anastasia has performed a significant number of A/B tests for large tech companies with hundreds of millions monthly users.

What you’ll learn

• How to use A/B tests to improve business performance
• Define A/B tests
• Start A/B tests
• Analyze the results of A/B tests
• Measure the success of A/B tests
• How to define a hypothesis
• Design tracking for the metrics
• How to prepare for a data science interview (when you get asked about A/B tests)
• How to design A/B tests for digital products
• Advanced considerations when you run multiple A/B tests at the same time

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