In the context of this lesson, what are some benefits of using the data science process?
There are many benefits of using the data science process when doing data science.
One is that the data science process provides us with a well-structured and clear set of steps to follow. We do not have to spend extra time reinventing the wheel so to speak, which saves us time when we perform data science.
Another important benefit is that the data science process is a standard and used widely. Because of this, almost anywhere you go will follow this same process for data science, and you usually do not have to worry about inconsistencies or completely different processes when working with new teams.
The process is also reliable. It was created and reworked over time by experts in the field, going back to the scientific method, so we can rely on it when approaching data science. Also, many of the largest companies in the world use this same process, which must mean that it works.
Furthermore, this process covers essentially every important facet for understanding and working with data. Every step is emphasized and important to the process, from coming up with a question, to programming, to data collection, modeling, and presentation and communication. Each step is important.