In this course, you’ll learn to plan, implement, and interpret a hypothesis test in Python. Hypothesis testing is used to address questions about a population based on a subset from that population. For example, A/B testing is a framework for learning about consumer behavior based on a small sample of consumers.
This course assumes some preexisting knowledge of Python, including the NumPy and pandas libraries.Read more.
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The techniques and tools covered in Learn Hypothesis Testing with Python are most similar to the requirements found in Data Engineer job advertisements.
