Global Certificate in Data Visualization for Health Data Analytics
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⢠Fundamentals of Data Visualization: An introduction to data visualization concepts, principles, and best practices. Covering essential elements such as data encoding, visual perception, and design principles. ⢠Health Data Analytics: An overview of health data analytics, including data sources, types, and structures. This unit will cover data management, cleaning, and preprocessing for visualization. ⢠Data Visualization Tools and Techniques: An exploration of popular data visualization tools and techniques in healthcare data analytics. This unit will introduce software, libraries, and platforms for creating interactive and static visualizations. ⢠Data Storytelling for Health Data: Learning how to craft compelling stories using healthcare data visualizations. This unit will cover narrative structures, audience engagement, and communication strategies. ⢠Interactive Visualizations for Health Data: Diving into the creation of interactive visualizations, enabling users to explore and analyze healthcare data dynamically. This unit will cover web-based technologies and advanced visualization techniques. ⢠Evaluating Data Visualizations: An understanding of how to evaluate the effectiveness of data visualizations. This unit will cover performance metrics, usability testing, and user feedback methods. ⢠Ethics in Data Visualization: A discussion of the ethical considerations involved in healthcare data visualization. This unit will cover privacy, consent, accuracy, and fairness concerns.
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