SQL - Data cleaning | Handling Missing Values

In this tutorial, you will learn "How to Handling Missing Values? " in SQL as a part of Data Cleaning techniques.

Data cleaning is an essential part of the data preprocessing pipeline to ensure that the data used for analysis or modeling is accurate, consistent, and reliable.

Handling missing values:
Missing values can impact the accuracy of analysis. You can identify and handle missing values using SQL functions like IS NULL or COALESCE, and then decide whether to replace them with a default value or remove them.

IS NULL and COALESCE are SQL functions used for handling null values, but they serve different purposes.

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