Data analytics discussed in the previous section forms an important step in a data science project. In this section, we will explore the philosophy of data science and the standard life cycle of a data science project.
Data science is all about turning data into products. It is analytics and machine learning put into action to draw inferences and insights out of data. Data science is perceived to be an advanced step to business intelligence that considers all aspects of Big Data.
The following diagrams shows the various stages of data science life cycle that includes steps from data availability/loading to deriving and communicating data insights until operationalizing the process.