Five Fundamental Concepts of Data Science - Statistics Views

How many times have you seen an article start this way? Now, you have just seen another one! But I want to avoid completing that sentence, and consequently I will skip definitions and analogies here, even though they are very important and my colleagues (and students) know that I indulge in analogies profusely when attempting to explain anything. Instead, the focus here will be on fundamental concepts that are important to all students and practitioners of Data Science. Let me begin with a joke (which is not quite an "analogy"): A rich man wanted to invest in breeding and training a class of racing horses that would win as many races as possible.