After reading all the chapters, you might know enough to decide what you like. Do you want to build core ML stuff? Do you like to work on frameworks such as Hadoop, Spark, and so on? Are you keen on designing architecture? Do you want to contribute to visualization? Think and choose.
You can choose any area from data science or you can be a part of the whole data science product development life cycle. I want to give my example. I have worked with mid-size and start-up organizations. So far, I have had the freedom to explore various areas related to data science, such as proposing a data science product and releasing the product. I used to propose a new product after doing an analysis of business opportunities. I always validate my product proposal by thinking that if we were to make this product, then our end users would use it and, in return, the company that...
