This tutorial will introduce the idea of reproducibility for scientific analysis, including motivation and practical tips for getting started. While some examples may be given in R with environmental applications, concepts should be applicable to any analysis that depends on data and code. This tutorial will have useful reminders to all skill levels but will be targeted towards researchers newer to coding and data management.