This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.
collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language
The complete, structured curriculum repository for aspiring Data Analysts. Contains essential Python notebooks, practical exercises, and public datasets covering core data analysis, visualization, and reporting techniques.
Hypothesis Testing in Data Analysis This repository contains a Jupyter Notebook demonstrating various hypothesis testing techniques using Python. It covers statistical tests such as t-tests, ANOVA, chi-square, and non-parametric methods, with real-world examples and visualizations.
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