Python Project - How to Analyze Healthcare Data. Exploratory Data Analysis on Cancer Patient Data.

In this video, I walk you through a complete step-by-step guide on how to analyze healthcare data using Python. Whether you're a beginner or someone looking to sharpen your data analysis skills in the medical field, this project will help you build confidence and real-world knowledge using Pandas, Matplotlib, and Seaborn on analyzing healthcare data. 📌 What You'll Learn: ✅ Loading and exploring real-world healthcare datasets ✅ Cleaning and preprocessing data ✅ Performing Exploratory Data Analysis (EDA) ✅ Drawing insights from key health indicators ✅ Visualizing patterns and trends in patient data ✅ Interpreting results for better decision-making 📁 Dataset used: https://www.kaggle.com/datasets/ak0212/uae-cancer-patient-dataset 👨‍⚕️ Healthcare professionals, data analysts, students, and enthusiasts—this is for you! Learn how to extract meaningful insights that could support better healthcare outcomes. 🎯 Don’t forget to LIKE, SUBSCRIBE, and TURN ON NOTIFICATIONS for more data-driven projects every week! ------------------------------------------------------------------------------------------ FOLLOW ME ON INSTAGRAM https://www.instagram.com/dat_techynurz/ LINKEDIN https://www.linkedin.com/in/favour-olaitan-59ab36191/ FACEBOOK https://web.facebook.com/medidataperspectives ------------------------------------------------------------------------------------------ #PythonProject #DataAnalysis #DataScience #HealthcareData #MachineLearning #PythonForHealthcare #EDA #Pandas