Data science gets complicated as projects evolve, datasets grow, and research teams change. Starting a new project is often daunting, and existing projects will get out of hand if not managed properly. Many of these issues can be mitigated by taking an intentional approach to project design. In this workshop, Ezra will share tips and tricks for taking control of your data. Participants will explore a number of real world scenarios, and discuss strategies and techniques that reduce complexity and remove barriers to research.  

Generic examples in both R and Python will be shown, but no prior programming experience is necessary for this workshop.