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Learn Hypothesis Testing with Python

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.


What you’ll learn

In this learning resource you can improve the compentencies sought from organizations today. The most relevant technique from the educational opportunity that is frequently included from companies is AB Testing. The most in demand tool is Python.

Who will benefit?

Evaluating content from this educational resource with nearly 10,000 data-related job maps, we determine that those in or pursuing Data Scientist roles have the most to gain.