Dario Compagno, Associate Professor at Paris Nanterre University and one of the lecturers for MediaNumeric tells us more about his course; The main stages of a data project, from data exploration to storytelling.
In order to produce a data analysis one has to move through several steps. Firstly, one needs to understand the context of the analysis: what are the needs grounding it? How can these needs be translated into research questions, and then into data collection? This requires intuition and clear ideas about our aims and means. Once we have this sorted out, the practical work begins. Data has to be treated for visualisation and modeling. It’s here that software knowledge becomes central. In the end, our work has to be brought to the relevant public, so graphical and writing skills should now lead the way. This module tries to identify the most important points to check at each of these steps.