What's Included

Showcase Analysis Skills Demonstrate real-world investigation using hospital data.

Build Professional Dashboards Create healthcare dashboards tracking wait times and outcomes.

Tell Data-Driven Stories Present clear insights on hospital performance and risks.

Highlight Operational Failures Identify patterns in delays and mortality across hospitals.

Diversify Your Portfolio Add a unique healthcare project to stand out from other candidates.

  • Hospital Admissions Data Set

    Analyze hospital admissions, wait times, and outcomes across multiple hospitals to uncover patterns in delays, mortality, and healthcare efficiency.

  • 🖼️ 40 High-Resolution Images for Dashboards

    Access a curated collection of nearly 40 high-quality AI-generated images. Perfect for enhancing your dashboard designs, adding visual flair, or customizing your projects.

  • 📊 Complete Tableau Workbook Included

    Get the fully built Tableau workbook showcasing an Iron Man analytics dashboard. Study its structure, customize it, or add it to your portfolio to impress employers.

Dashboard 1 - Relative Deaths

Clear Patient Outcome Visualization The dot chart separates survivors and deceased patients, making outcome trends easy to spot at a glance.

Immediate Impact Recognition Deaths are visually distinct, allowing users to instantly recognize hospitals or wards with higher mortality rates.

Supports Data Storytelling A written summary explains the visual results, helping viewers understand why trends matter and what they imply operationally.

Highlight Hospital Performance Compare survival rates across different hospital locations to identify where critical improvements are most urgently needed.

Encourages Deeper Investigation The clear separation of outcomes invites users to drill deeper into specific hospitals, wards, or diagnoses to find root causes.

Dashboard 2 - Deaths by Prognosis

Visualize Deaths by Diagnosis The packed bubble chart shows which primary diagnoses are most associated with deaths across different hospitals.

Easy Cross-Hospital Comparison Color coding and bubble size make it simple to compare outcomes between hospital locations at a glance.

Highlights High-Risk Diagnoses Larger bubbles quickly identify diagnoses with the most fatalities, directing attention to critical health conditions.

Clean and Intuitive Design The packed layout minimizes clutter, making complex mortality data approachable and easy to explore.

Supports Pattern Recognition Color and size variations allow users to visually detect risk concentrations by hospital and prognosis without needing to read detailed tables.

Dashboard 3 - Hospital Admissions Schedule

Analyze Admission Patterns View scheduled admissions across hospitals and wards to understand patient flow and hospital capacity over time.

Identify Peak Admission Times Spot periods where hospitals and wards experience the highest admission volumes, supporting better resource planning.

Investigate Operational Strain Detect when wards are overloaded with admissions, helping explain delays or service quality issues.

Compare Hospital Scheduling Quickly compare how different hospitals handle patient admissions across various departments and specialties.

Enable Deeper Exploration This tool encourages users to drill into specific admission patterns, investigating bottlenecks or inefficiencies at a granular level.

Course Curriculum

    1. Welcome to the Course

    2. Data Set

    3. Images

    4. Workbook Files

About this course

  • 4 lessons
  • 0 hours of video content

Data Dictionary Included

📘 Why a Data Dictionary Matters:

A data dictionary is essential for understanding the structure and meaning of each field in your dataset. It ensures consistency, improves collaboration, and makes your analysis easier to follow—especially when sharing with employers or peers.


Hospital Admissions Data Set

This dataset tracks patient admissions across multiple hospitals, capturing wait times, diagnoses, treatment outcomes, and hospital performance. It allows users to investigate patterns in mortality, delays, and operational inefficiencies to identify high-risk areas and drive healthcare improvements.