Data analysis is a fundamental skill that plays a critical role in undergraduate STEM education.
While many programs offer basic instruction in processing and comparing sets of numbers, there is a need for a more comprehensive approach to data analysis techniques, data visualization, and uncertainty. Uncertainty is a crucial aspect of data analysis that cannot be overlooked. All statistical analysis requires an uncertainty estimate to provide context and meaning to the data.