On Day 16 of our SQL learning journey, we dive into how to identify and handle missing values in your database using IS NULL and IS NOT NULL. These operators help you filter records where data is missing (NULL) or present. Understanding NULL values is essential for accurate data analysis and clean query results. In this session, you’ll learn: The concept of NULL in SQL (and why NULL ≠ 0 or empty string) How to use IS NULL to find missing data How to use IS NOT NULL to find non-missing records Combining IS NULL with WHERE, AND, OR clauses Practical examples from employee and sales databases By the end, you’ll confidently manage incomplete data and write more reliable queries. Tags: #SQL #DataAnalytics #LearnSQL #Database #SQLTraining #GROUPBY #SQLQueries #DataScience #Analytics #DataScience #AI #MachineLearning #ArtificialIntelligence #GenerativeAI #Python #DataScienceProjects #AIEngineer #DataScientist #DSAI #DSAIwithAdityavesh