Here in Lesson 2, the key concepts required to make sense of modeling and linear regression for Supervised Machine Learning are discussed. Please also pay attention to the discussions surrounding the Z-scores and standardizing data, it is an important theme in Statistics for Data Science. The MS EXCEL files for practicing are available at see Lesson 2 00:00 Introduction 00:32 Data Visualization: Histograms 01:34 MS EXCEL Practice on Histograms 02:15 Probabilities 03:04 Probability Distribution Functions 03:36 Normal Distribution 04:23 Motivation for Standard Scores 08:09 The Standard Normal Distribution 09:29 Excel-related functions: 1 Tail convention