Data modeling is the process of mapping out how major pieces of data will relate to one another before creating an analytical model. Here’s what you need to know.
Statistical analysis helps you pull meaningful insights from data. The process involves working with data and deducing numbers to tell quantitative stories.
A data pipeline is a series of data processing steps. A data pipeline might move a data set from one data storage location to another data storage location.
