Data cleansing is an essential step in data analysis to ensure accurate and reliable insights. One common task in data cleansing is handling NULL values. However, before proceeding to drop NULL values from your dataset, it is crucial to understand the implications and consider the best approach for your specific use case. In this article, we will delve deeper into NULL values, their implications, and explore techniques for handling them using Power BI, Pandas, and SQL.

A subquery is a SELECT statement that is nested within another SELECT, INSERT, UPDATE, DELETE, or SET statement. Subqueries are often used to select rows for a query based on complex criteria or to perform calculations within a query.

Linear regression and logistic regression are two commonly used statistical models that are used in data analysis. While they share some similarities, there are important differences that make them suitable for different types of problems. In this article, we will explore the key differences between linear regression and logistic regression and provide examples to help you understand when to use each one.

As a data analyst and coding enthusiast, I have always been interested in the world of programming. When the opportunity arose to run a coding boot camp for beginners, I jumped at the chance to share my passion for coding with others and to learn more about the world of programming myself.