Course description

This comprehensive course, Medical Informatics and Data Science: An Introduction to Epidemiology and Biostatistics, bridges two essential disciplines at the heart of modern public health and clinical research. Epidemiology focuses on studying the distribution and determinants of health and disease in populations, while biostatistics provides the tools to design studies, analyze data, and derive valid conclusions.

By integrating these disciplines, learners will gain a strong foundation in medical data science—understanding how health data is collected, processed, analyzed, and applied in decision-making for public health programs, clinical trials, and evidence-based medical practice.

The course explores core epidemiological concepts such as study design, disease surveillance, risk measurement, and causal inference, alongside biostatistical methods including probability, hypothesis testing, regression modeling, and survival analysis. Students will also learn how these principles are applied in public health research, healthcare program evaluation, and clinical trial design and analysis.

Designed for healthcare professionals, researchers, public health students, and clinicians, this course provides practical skills in handling medical data using modern data science tools, fostering evidence-driven innovation in healthcare.

What will i learn?

• Explain the role of epidemiology and biostatistics in public health and medical research.
• Design epidemiological studies and understand their strengths and limitations.
• Apply statistical techniques to analyze health-related data.
• Interpret epidemiological and biostatistical findings in clinical and public health contexts.
• Use medical informatics and data science approaches to support decision-making in healthcare.
• Understand the structure and analysis of clinical trials and population-based studies.
• Critically evaluate public health research and apply findings to real-world interventions.

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