Probability Distributions are like 3D glasses. They allow a skilled Data Scientist to recognize patterns in otherwise completely random variables. In a way, most of the other Data Science or Machine Learning skills are based on certain assumptions about the probability distributions of your data.
This makes probability knowledge part of the basis on which you can build your toolkit as a statistician. The first steps if you are figuring out how to become a Data Scientist. Without further ado, let us cut to the chase. What are Probability Distributions? In Probability and Statistics, a random variable is a thing that takes random values, like “the height of the next person I see” or “the amount of cook’s hairs in my next ramen bowl”.