Module #1 Introduction to Data Visualization in Public Health Overview of the importance of data visualization in public health, course objectives, and key concepts.
Module #2 Understanding Public Health Data Types of public health data, data sources, and common data visualization challenges.
Module #3 Data Visualization Fundamentals Principles of effective data visualization, data visualization types, and best practices.
Module #4 Choosing the Right Chart Type When to use different chart types, such as bar charts, line graphs, and scatter plots.
Module #5 Color Theory for Data Visualization Color palettes, color schemes, and accessibility considerations for data visualization.
Module #6 Visualizing Health Disparities Strategies for visualizing health disparities and promoting health equity.
Module #7 Working with Geographic Data Using maps and spatial analysis to visualize public health data.
Module #8 Visualizing Time-Series Data Techniques for visualizing time-series data, including line graphs and area charts.
Module #9 Inter Interactive Visualization Tools Introduction to interactive visualization tools, such as Tableau and Power BI.
Module #10 Creating Interactive Dashboards Designing and building interactive dashboards for public health data.
Module #11 Data Visualization for Communication Strategies for communicating public health data insights to different audiences.
Module #12 Evaluating Data Visualization Effectiveness Methods for evaluating the effectiveness of data visualizations in public health.
Module #13 Visualizing Infectious Disease Data Special considerations for visualizing infectious disease data, including outbreak tracking and surveillance.
Module #14 Visualizing Environmental Health Data Strategies for visualizing environmental health data, including air and water quality.
Module #15 Visualizing Mental Health Data Considerations for visualizing mental health data, including stigma reduction and sensitive data handling.
Module #16 Visualizing Health Equity Data Strategies for visualizing health equity data, including disparity metrics and policy implications.
Module #17 Data Visualization in Public Health Policy The role of data visualization in informing public health policy decisions.
Module #18 Case Studies in Public Health Data Visualization Real-world examples of effective data visualization in public health, including successes and challenges.
Module #19 Data Visualization Tools for Public Health Overview of popular data visualization tools, including R, Python, and Excel.
Module #20 Data Visualization Best Practices for Public Health Summary of key best practices for data visualization in public health.
Module #21 Communicating Data Insights to Stakeholders Strategies for communicating data insights to stakeholders, including policymakers and community leaders.
Module #22 Designing Data Visualization for Accessibility Considerations for designing accessible data visualizations, including color blindness and low vision.
Module #23 Data Visualization for Global Health Challenges and opportunities for data visualization in global health, including limited data and resource constraints.
Module #24 Ethical Considerations in Public Health Data Visualization Ethical considerations for data visualization in public health, including data privacy and bias.
Module #25 Data Visualization in Public Health Research The role of data visualization in public health research, including study design and data analysis.
Module #26 Collaborative Data Visualization in Public Health Strategies for collaborative data visualization in public health, including team workflows and stakeholder engagement.
Module #27 Data Visualization for Public Health Advocacy Using data visualization to advocate for public health priorities and policy change.
Module #28 Advanced Data Visualization Techniques Advanced data visualization techniques, including 3D visualization and animation.
Module #29 Data Visualization in Public Health Education The role of data visualization in public health education, including curriculum development and student engagement.
Module #30 Course Wrap-Up & Conclusion Planning next steps in Data Visualization in Public Health career
