Heart Disease Analysis Power BI Dashboard A data-driven Power BI report analyzing heart disease patient data to uncover insights by gender, age, and health metrics. Built using Power BI, Excel, and DAX to demonstrate data modeling, visualization, and business intelligence storytelling for healthcare analytics.

No description available

A data analysis project using SQL (and later Power BI) on heart disease clinical data.

Heart Disease Analysis Dashboard – Power BI This repository contains a Power BI dashboard project that analyzes patient data related to heart disease outcomes. The dashboard is designed to help healthcare professionals and data analysts

This project involves analyzing heart disease data using Power BI and Excel. It includes data visualization, statistical analysis.

A Power BI project for Heart Disease Risk Analysis and data visualization. Includes the raw patient data (.csv) and the interactive Power BI dashboard (.pbix).

This project implements machine learning models to analyze and predict heart disease using various patient health metrics. The analysis includes Decision Tree , along with comprehensive data visualization using Python and Power BI.

No description available

No description available

No description available

An interactive Power BI dashboard analyzing heart disease survival trends across age, gender, and key clinical risk factors.

he Purpose of this tutorial is to demonstrate how to create Step by Step Dynamic Heart Disease Analysis Dashboard and Create Comparison between Youth and Adults Using PowerBI.

Power BI dashboard analyzing heart disease risk using AI visuals

This repository features a dynamic and interactive Power BI dashboard that analyzes heart disease-related data across different age groups and health indicators. The dashboard provides valuable insights into survival rates, death events, and contributing health conditions like smoking, diabetes, and blood pressure.

No description available

No description available

A visually compelling Power BI dashboard analyzing heart disease data, highlighting survival rates, key health indicators, and age group insights.

Project Report: Heart Disease Analysis Dashboard in Power BI

📊 Data Analyst | Python, SQL, Excel, Power BI, | Skilled in data cleaning, visualization, and reporting. Passionate about turning raw data into actionable insights to help businesses make data-driven decisions. Always learning advanced analytics & machine learning.

A project based on Heart Disease Analysis using the power bi tool.

Heart Disease Data Analytics Project with Power BI – includes datasets, dashboards, and code for analysis and visualization.”

📊 Heart Disease Analysis Dashboard (Power BI) This project leverages Power BI to explore and visualize a heart disease dataset, with the goal of uncovering trends, risk factors, and insights related to some disease survival and death rates

End-to-end project combining heart disease risk prediction with a Streamlit app and heart failure outcome analysis through a Power BI dashboard.

Heart Disease Analysis using Excel, SQL & Power BI This project analyzes a Heart Disease dataset with Excel (data cleaning), SQL (data preparation), and Power BI (dashboarding). It provides insights into patient demographics, blood pressure, cholesterol, chest pain types, and disease distribution.

This project is a Heart Disease Analysis Dashboard created using Power BI with data sourced from an Excel dataset. The dashboard provides insights into heart disease patterns, survival rates, and risk factors.

Heart Disease Risk Analysis using Python and Power BI. This project explores clinical and demographic factors influencing heart disease through data cleaning, exploratory analysis, and interactive dashboards, delivering actionable insights for risk assessment and decision support.

This project involves analyzing heart disease data to predict the heart disease based on several health-related factors. The analysis is done using Exploratory Data Analysis (EDA), followed by building an insightful Power BI dashboard to visualize the results and findings.

Cardiovascular (Heart) Disease Prediction is a Health Care Project to predict the heart disease of a patient through various features. The Data cleaning and Data Analysis was done in Python and The Data Visualization was done in Power BI

A Heart Disease Diagnostic Analysis project using Power BI involves creating interactive dashboards and visualizations to analyze patient data, identify key risk factors, and predict heart disease outcomes. The project aims to enhance data-driven decision-making in medical diagnostics and improve patient care...

This project is a Power BI dashboard built on the Heart Disease dataset. It visualizes key health factors like age, cholesterol, blood pressure, and chest pain through interactive charts and filters. The dashboard helps identify patterns linked to heart disease risk and is a simple example of healthcare data analysis using Microsoft Power BI.