Having a thorough understanding of Python lists and NumPy arrays opens the door to many useful data tasks. This guide will introduce you to both concepts.
A data analyst reviews company data to assess its current situation while a data scientist uses coding and advanced modeling techniques to answer current and future company questions.
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.