In many ways, the field of data science is as unclear and vague as a muddy lake. While most terms and concepts include a legitimate definition, it’s all too easy to get bogged down in technical jargon. As such, some ideas mean different things from company to company and even — in some cases — from project to project.
1. Translate Data Into Actual Business Terminology You likely spend a lot of your time trying to explain complex technical terms to senior- and executive-level staff members. These professionals tend to be from older generations. Not only are they unfamiliar with some of the most basic terms and concepts of IT, but many of them aren’t even interested in learning.