Good visualization can achieve quick and accurate understanding of significant data. Bad visualization can lead to misleading the public and misunderstanding research results. This course mines the history and philosophy of statistics and data visualization for lessons and strategies applicable to future careers in science and health science. Reflecting on the evolution of the tools we use to sample, measure and model data, this course develops critical thinking and reflection on how we apply these tools in epidemiology and health sciences today.