In order to use data effectively for any kind of analysis, data scientists must be able to clean and prepare it first. Fortunately, Python makes doing so easy.
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.
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.
