Epidemiology, Biostatistics, and Health Data Analytics

What Will You Learn?

• How to analyze disease distribution and health determinants using core epidemiological methods.
• The differences between key study designs (cohort, case-control, cross-sectional) and when to use each.
• How to interpret and apply incidence, prevalence, morbidity, and mortality data in public health.
• Use of descriptive and inferential statistics, including t-tests, chi-square, and ANOVA, in real-world scenarios.
• How to understand and implement public health surveillance systems (passive, active, sentinel, syndromic).
• Techniques to assess data quality and manage health datasets (from surveys, administrative data, and EHRs).
• Basics of predictive modeling and trend analysis for public health planning.
• Designing and interpreting dashboards and visual tools to support health-related decision-making.