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Hypothesis Testing in Python

IntermediateSkill Level
4.7+
1,358 reviews
Updated 08/2024
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
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PythonProbability & Statistics4 hr15 videos50 Exercises3,750 XP47,720Statement of Accomplishment

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Course Description

Hypothesis testing lets you answer questions about your datasets in a statistically rigorous way. In this course, you'll grow your Python analytical skills as you learn how and when to use common tests like t-tests, proportion tests, and chi-square tests. Working with real-world data, including Stack Overflow user feedback and supply-chain data for medical supply shipments, you'll gain a deep understanding of how these tests work and the key assumptions that underpin them. You'll also discover how non-parametric tests can be used to go beyond the limitations of traditional hypothesis tests.

Prerequisites

Sampling in Python
1

Hypothesis Testing Fundamentals

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2

Two-Sample and ANOVA Tests

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3

Proportion Tests

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4

Non-Parametric Tests

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Hypothesis Testing in Python
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*4.7
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