Pandas, Visualization & Statistical Testing

In this video, we perform a complete medical data analysis project using Python. We use Pandas, Matplotlib, Seaborn, Plotly, SciPy, and Statsmodels to explore, clean, visualize, and statistically analyze a real-world Heart Attack Dataset from Kaggle.

Dataset link:
https://www.kaggle.com/datasets/sukhmandeepsinghbrar/heart-attack-dataset

Topics covered in this tutorial:

Data loading and preprocessing using Pandas
Exploratory Data Analysis (EDA)
Histograms, boxplots, scatter plots, heatmaps, and KDE plots
Interactive data visualization using Plotly
Statistical analysis
Correlation analysis
T-test, Chi-square test, and ANOVA
Beginner-friendly medical dataset analysis workflow

This tutorial is designed for beginners who want to learn real-world data analysis, data visualization, and applied statistics using Python.

This video is useful for learners interested in Data Science, Bioinformatics, Medical Data Analysis, Python for Research, Machine Learning Foundations, and Statistical Data Analysis.

By the end of this tutorial, you will understand how to analyze a real dataset step by step and build strong practical skills in Python-based data analysis.

Видео Pandas, Visualization & Statistical Testing канала Bioalgothinkers