This module is a basic public health analytic training through lecture and assessment that can be done independently by students within the recommended 6 total hours. There are 6 sub-modules covering topics including in the MPH foundational course: EPID 5100-Analytic Methods in Public Health course. Both the module described here and the course provide an overview of principles and concepts of epidemiology and biostatistics as well as quantitative data collection and management methods applied to public health data. Topics include characteristics of study designs and their application, measures of frequency and associations as indicators of public health impact, introduction to the elements of statistical inference, probability distribution, estimation of means and rates, and causation.

**Learning Objectives:**

- Identify types of data
- Describe different ways to visualize data based on their type
- Calculate and interpret basic descriptive statistics (e.g. mean, median, mode, etc.)
- Calculate and interpret commonly used rates for morbidity and mortality
- Identify the appropriate uses of epidemiologic study designs
- Calculate and interpret measures of risk including relative risk and odds ratios
- Identify the appropriate statistical tests for analyzing data based on their type
- Identify types of bias and methods for avoiding them
- Define confounding and list methods for its control