A/B Testing in Python
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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