Handling Missing Data - Complete Case Analysis

We will start with standard steps of understanding the data (looking at head and tail, shape, dtype, number of null values, visualizing null values using missingno, taking a look at descriptive statistics)

Then we will get into handling missing data:
First we will talk about 3 mechanisms of missing data and then talk about ways of handling that missingness based on those 3 mechanisms for numerical and categorical variables both and also univariate methods and multivariate methods of handling missingness in data.