Program Overview

The Data Science of Healthcare, Medicine, and Public Health

Course Overview

Data analytics plays an increasingly pivotal role in managing healthcare systems and personal health. This non-technical course explores the application of data science to medicine and public health.

Course Details

• Instructor: Barton Poulson
• Course Description: The course discusses the impact of dramatically increased quantities of data from genetic testing, genealogy, brain scans, and other sources on the theory and practice of healthcare.
• Key Topics:
  • Analyzing data sources
  • Methods for analyzing wealth of data, including machine learning and predictive modeling
  • The effect of the COVID-19 pandemic on data usage in healthcare
  • Changes in patient care, self-care, and medical insurance due to data science
  • Challenges presented by increased data usage, including ethical questions and logistical implementations

Related Classes

• Future Proofing Your Data Science Career
• AI Agents for Everyday Professionals: Simple Automations to Speed Up Your Work (No Code Required)
• GitHub Quick Tips
• Microsoft Forms Essential Training
• Leading in Uncertain Times
• Privacy by Design: Data Sharing
• Privacy by Design: Data Classification
• The Data Science of Experimental Design
• SQL Server Machine Learning Services: R
• Supply Chain Basics For Everyone
• Software Design: From Requirements to Release
• Marketing Analytics: Setting and Measuring KPIs
• Advanced Google Ads
• Pivoting Your Small Business in a Crisis
• Rolling Out a Diversity and Inclusion Training Program in Your Company
• Revit: Optimize Your BIM Workflow
• Leading in Crisis
• Spring: Spring Batch
• Collaborating on Video Projects with Frame.io
• How Leaders Can Motivate Others by Creating Meaning