Engage in a scenario-based simulation that mirrors real-world heart disease detection interviews. Using a structured dataset of patient health records, you’ll tackle challenges spanning SQL, EDA, statistics, and modeling. This 60-minute session is designed to test both your technical expertise and your ability to communicate insights clearly. Each phase builds on the last, providing a realistic flow that sharpens your end-to-end data science skills in healthcare-focused predictive modeling.

What you’ll practice:

• Work with patient data to clean and prepare features for analysis.
• Strengthen SQL querying skills on health records for risk factor exploration.
• Apply EDA and statistics to uncover correlations with heart disease.
• Design and implement predictive models for disease detection.
• Interpret medical predictions and communicate results to non-technical stakeholders.
• Gain experience in healthcare-focused data science interview scenarios.