One need not be an expert in statistical software, nor have a public health degree, to understand most of what is needed for critical interpretation of clinical data. Moreover, given the emergence of evidenced based medicine, it is critical for clinicians to have at least a rudimentary understanding of biostatistics as they pertain to clinical research. Using an interactive case-based approach, this course will cover essential and practical information for critically appraising or conducting research. The material covered will include a discussion of normal distributions, non-parametric data, continuous vs. categorical variables, effect size, confidence intervals, p-values, time-to-event analyses, correlations, multivariate regression models, and common statistical errors and misconceptions. The course aims to provide essential knowledge and simple tools for this purpose.