Master AI and Advanced Visualization: Healthcare Data Revolution in 8 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of AI and Advanced Visualization: Healthcare Data Revolution, from foundations to a certified capstone project.
Principles
โข Perceptual ranking of visual channels and choosing encodings accordingly
โข Colour for clinical safety: accessibility, severity scales and cultural convention
โข Chart types that mislead in healthcare, and their common substitutes
Patient Level
โข Longitudinal timelines across medications, results and events
โข Physiological waveform and monitoring display at the bedside
โข Presenting risk scores so clinicians can calibrate trust in them
Imaging
โข Volume rendering, multiplanar reconstruction and segmentation overlays
โข Registering and displaying multimodal studies together
โข Communicating model uncertainty on top of an image
Population
โข Cohort comparison, survival curves and small-multiple layouts
โข Geospatial mapping of disease burden and access, and rate-versus-count errors
โข Dashboards for quality improvement rather than performance theatre
Delivery
โข Tooling choices from statistical graphics to web-based interactive systems
โข Usability testing with clinicians under realistic time pressure
โข Accessibility, colour-vision deficiency and display constraints in clinical settings
e-Certificate and e-Marksheet issued on successful completion.