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Explore a wide range of free and certified Epidemiology online courses. Find the best Epidemiology training programs and enhance your skills today!
Calculate prevalence, incidence, odds and risk ratios, attributable risk, and diagnostic test sensitivity and specificity to measure disease frequency, association, and screening programme effectiveness.
Compare epidemiological study designs — ecological, cross-sectional, case-control, cohort, nested case-control and case-cohort, and randomised controlled trials — and pick the best design for a research question.
Identify and control threats to study validity: selection and information bias, confounding detection and adjustment, directed acyclic graphs, effect modification, and causal inference in epidemiology.
Translate clinical problems into research questions: design diagnostic, prognostic, intervention and etiologic studies, work through the DEPTh model, and appraise randomized controlled trials.
Epidemiology is the cornerstone of public health: measure disease frequency, compare study designs, interpret measures of association and confidence intervals, and reason about causality.
Learn core epidemiologic tools to measure population health, assess interventions, work with health indicators, build and analyze surveillance systems, and investigate outbreaks and epidemics.
Gain the knowledge and specialized skills to prevent disease and promote public health worldwide.
Apply epidemiology in disaster and refugee settings: run outbreak investigations, build community-based surveillance, design surveys, and handle ethics and community engagement.
This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn.
Learn to measure disease frequency, compare common epidemiological study designs, and detect and control bias and confounding when designing or critiquing research.
Learn to analyze genetic association data: Hardy-Weinberg and linkage disequilibrium, population structure and admixture, genotype quality control and imputation, case-control and family-based designs.
Medical students learn to measure disease, assess risk, and interpret study data for evidence-based clinical decisions.
Explore how antibodies reveal viral infection, use an interactive ELISA to screen SARS-CoV-2 antibodies, and understand vaccine strategies, variants, and epidemic tracking.
Learn how viruses are built, classified, and replicate, how immune systems and vaccines fight back, and how epidemiologists model, track, and manage outbreaks like COVID-19.
Learn how clinical trials, cohort studies, and Kaplan–Meier survival analysis support epidemiological research.
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