Descriptive data analysis mainly focuses on the data that is already available to us. It summarizes the data, helps identify patterns, trends, and anomalies, and converts it into a presentable format.

This repository is dedicated to exploring and understanding the concepts of Descriptive and Inferential Statistics through a hands-on project-based approach. It includes practical examples, Python ...

Descriptive statistics are used to summarize and display the basic features of a data set, such as its size, distribution, central tendency, variability, and shape. Descriptive statistics can be ...

To understand and apply statistical concepts i.e. descriptive analysis, inferential, hypothesis testing and confidence intervals to a data science project. - ...