This is part 2 of this series on Data Analysis. The focus of this article is all the different types of data and how each one can be analyzed.

If you have not yet read Part 1, you can do so here.

Every day, words like “Artificial Intelligence”, “Big Data”, “Data Analytics”, and “Machine Learning” are thrown around constantly these days, but what do they actually mean? Perhaps more importantly, why should you care?