Testing Statistical Hypotheses in Data science with Python 3
Parametric and nonparametric hypotheses testing using Python 3 advanced statistical libraries with real world data
4.29 (46 reviews)
306
students
4 hours
content
Dec 2024
last update
$49.99
regular price
What you will learn
Learn how to use Python libraries to perform a wide variety of parametric and non-parametric tests.
Calculate and interpret critical test statistics (e.g., t-values, F-values, chi-square values) to assess relationships and differences in datasets.
Use Python to compute p-values, interpret their significance in the context of statistical tests, and make decisions
Gain experience interpreting the results of hypothesis tests, and making data-driven conclusions applicable to fields like business, healthcare, etc..
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1513616
udemy ID
1/17/2018
course created date
10/7/2020
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