All these terms are simple enough to understand-and in this article, we’ll prove it.īy the end, you’ll have a basic understanding of the most essential processes, tools and tasks in Data Analytics.
If you were a fly on a wall at a meeting of data analysts, you’d overhear them discussing doing all sorts of things to their data, from mining it, to mapping it, to modeling and monitoring it. Whether its the legalize of the lawyer or the acronym-heavy shorthand of the marketer, this terminology can serve as an intimidating barrier to entry for the budding career changer.Īnd the field of Data Analytics is no different.
Every field is ring-fenced by its own specialist vocabulary.
