Data science requires a range of sophisticated technical skills. Don’t let that expertise get in the way of critical thinking, though, or you could end up doing more harm than good for your business partners.
Data analysts should work with data to derive insights for a business, but too often they spend most of their time on prepwork. Here’s how you can fix that problem.
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.
