Statistical Analysis and Machine Learning in Health Data Science
Data Visualization for Healthcare Insights
Predictive Modeling and Risk Stratification
Health Informatics Tools and Software
Ethical Considerations in Health Data Science
Applications of Health Data Science in Population Health Management
Emerging Trends in Health Data Science
Who Should Attend
Students and researchers in healthcare-related fields, graduates/post graduates in Biomedical fields looking to enhance their skills in health data science for better industrial and real world exposure.
Professionals working in healthcare/lifescience/pharma domains looking for career transition into analytics.
Data analysts and researchers interested in analyzing healthcare data to derive insights.
Healthcare administrators and policymakers seeking to leverage data for evidence-based decision-making.