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Data Analysis, Visualization, and Hypothesis Testing with Python and Data Science Tools.

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Statistics-and-Probabilities

Data Analysis, Visualization, and Hypothesis Testing with Python and Data Science Tools.

Stacks

Python
Pandas
Scipy
Matplotlib
Seaborn

Tech

Google Colaboratory
Jupyter Notebook

Contents

Descriptive Statistics with Pandas
Distribution Analysis with Histogram and Boxplot
Normality Test with Shapiro-Wilk Test
One-Sample Hypothesis Testing (Z-Test and T-Test)
Two-Sample Hypothesis Testing (Z-Test, T-Test, and F-Test)
Pearsonr Correlation Test and Scatter Plot

References

Refer to the last section of the IPYNB File.

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Data Analysis, Visualization, and Hypothesis Testing with Python and Data Science Tools.

data-science data-visualization data-analysis hypothesis-testing

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