Statistical Analysis of Heart Disease Indicators with Python • Codecademy Project 06/2025
Conducted statistical analysis on heart disease dataset to investigate cholesterol levels and fasting blood sugar indicators.
Performed one-sample t-tests to compare mean cholesterol against the clinical threshold of 240 mg/dL for patients with and without heart disease.
Applied binomial test to determine if the proportion of patients with high fasting blood sugar (>120 mg/dL) exceeds 8%.
Interpreted results to identify significant differences in cholesterol levels for heart disease patients and assessed the prevalence of high fasting blood sugar.
Used Python libraries including pandas, numpy, and scipy.stats for data processing and hypothesis testing.