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Hypothesis Testing in Python

Datacamp, Online
Length
4 hours
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Delivery
Self-paced Online
Length
4 hours
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Delivery
Self-paced Online
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Course description
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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  • Self-paced Online
  • Online
  • English
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Training content
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.

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Datacamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London
+34000000000

Datacamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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