Program Objectives:

• Master advanced visualization tools and techniques tailored for healthcare data.
• Learn to create interactive dashboards that highlight key health metrics and trends.
• Develop skills in predictive analytics visualizations to forecast health outcomes.
• Understand how to use visualization in patient journey mapping to improve care pathways.
• Navigate the ethical considerations in presenting healthcare data.

What you will learn?

MODULE 1 : Foundations of Data Visualization in Healthcare 

• Principles of data visualization
• Understanding the healthcare data landscape
• Best practices in visualizing health data

MODULE 2 : Tools and Technologies for Data Visualization

• Introduction to visualization tools (e.g., Tableau, Power BI)
• Custom visualizations with Python and R
• Interactive dashboards and real-time data presentation

MODULE 3 : Predictive Analytics and Visualization

• Fundamentals of predictive analytics in healthcare
• Visualizing predictive models for health outcomes
• Case studies on predictive analytics in public health and clinical settings

MODULE 4 : Patient Journey Mapping and Visualization

• The concept of the patient journey in healthcare
• Visualization techniques for mapping patient journeys
• Using patient journey maps to improve healthcare delivery

MODULE 5 : Ethical Considerations in Healthcare Data Visualization

• Data privacy and security in visualizations
• Ethical representation of health data
• Avoiding bias in healthcare visualizations

MODULE 6 : Capstone Project

• Development of an advanced healthcare data visualization project
• Application of visualization techniques to a real-world healthcare dataset
• Presentation and critique of projects