Step 1: We will use the python package NumPy for working with a sample dataset and Matplotlib to plot various graphs for visualisation. Step 2: Let us consider a simple scenario where a single input /independent variable controls the outcome/dependent variable value. In the code below, we have declared two NumPy arrays to hold the values of the independent and dependent variables. Step 3: Let us quickly draw a scatter plot to understand the data points. Our goal is to formulate a linear equation which can predict the dependent variable value with minimum error for an independent/input variable.

Dr. Daniel "Brian" Letort is a Fellow and Chief Data Scientist at Northrop Grumman Corporation. He has held various roles in his 18 year tenure, which have spanned software engineering, systems engineering, systems architecture, and chief architect. Throughout the roles, his interest have surrounded the strategic and forward-thinking use of data. Additionally, Brian serves as an adjunct instructor at both Colorado Tech and Southern New Hampshire University. Additionally, he serves as a lead faculty at Southern New Hampshire University.