Global Certificate in Data Visualization for Aging Societies
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• Data Visualization Fundamentals: Understanding data visualization principles, data storytelling, and design principles
• Data Wrangling for Data Visualization: Data pre-processing, data cleaning, and data transformation
• Choosing the Right Visualization: Selecting appropriate visualization types for different datasets and objectives
• Demographics and Aging Societies: Examining population trends, aging indicators, and health disparities
• Data Visualization Tools: Hands-on experience with popular data visualization tools, such as Tableau, PowerBI, and R Shiny
• Data Visualization Best Practices: Implementing best practices for effective data visualization in aging societies
• Data Visualization Ethics: Exploring ethical considerations and responsibilities in data visualization
• Stakeholder Engagement: Communicating data insights and engaging with diverse stakeholders in aging societies
• Case Studies in Aging Societies: Applying data visualization skills to real-world aging society challenges
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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