Data Science Simplified Part 4: Simple Linear Regression Models

In the previous posts of this series, we discussed the concepts of statistical learning and hypothesis testing. In this article, we dive into linear regression models. Before we dive in, let us recall some important aspects of statistical learning. Independent and Dependent variables: In the context of Statistical learning, there are two types of data: […]

Data Science Simplified Part 3: Hypothesis Testing

Edward Teller, the famous Hungarian-American physicist, once quoted: “A fact is a simple statement that everyone believes. It is innocent, unless found guilty. A hypothesis is a novel suggestion that no one wants to believe. It is guilty, until found effective.” Application of hypothesis testing is predominant in Data Science. It is imperative to simplify […]

Data Science Simplified Part 1: Principles and Process

In 2006, Clive Humbly, UK Mathematician, and architect of Tesco’s Clubcard coined the phrase “Data is the new oil. He said the following: ”Data is the new oil. It’s valuable, but if unrefined it cannot be used. It has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable […]