Statistical Analysis in Python - 359: Introduction to Statistical Analysis in Python

This is the first video in my statistical analysis series using Python. Today we're starting with the basics using a heart disease dataset from UCI. I'll walk you through some fundamental concepts and show you how to create some useful visualizations that actually make sense of your data. In this video, we'll cover: How to load and explore datasets with pandas Dealing with missing values (because real data is messy!) Understanding what those numbers from describe() actually mean Creating histograms, box plots, and correlation heatmaps Making sense of correlation matrices We'll build a solid foundation before diving into the more complex topics in the next videos. For the code from this video, follow this link: https://github.com/bnsreenu/python_for_microscopists/blob/master/359_Introduction_to_descriptive_statistics.ipynb