Learn A/B Testing with Python Libraries Pandas and NumPy
Before becoming an @IBM Data Scientist, Lucy Xu's goal was to master the skill of A/B testing with python. She cites this essential skill as being a great boost to her personal projects, as well as her career development since most data analyst and scientist positions list A/B testing as a preferred skill.
That's why she made this free guided project breaking down the process of formulating hypotheses, creating test variations, defining success metrics, and analyzing results with Python's statistical libraries: Pandas and NumPy.
This project is beginner friendly, and 100% free for anyone looking develop their data analysis skills!
🔗 https://cognitiveclass.ai/courses/abt...
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