As we discussed in Chapter 1, the data science process starts with a question or hypothesis. Then, you collect as much relevant raw data as possible, clean and explore it. The Fourth stage is modeling and evaluating. The final step is to deploy, visualize, and communicate results in reports, as shown in Figure 10-1.