When big data in eLearning is discussed, I often reflect on the difference in the terms data and information. Data is, of course, raw recorded information. Data is not, in and of itself, actionable. Data must go through a process of analysis, organization, and presentation in order for it to be actionable. This now actionable data is information. So how does this metamorphosis from data to information take place? Much of the analysis is done with a coding language called Python.