Data is the fuel that drives modern businesses and organizations forward. However, raw data often contains errors, inconsistencies, and missing values, making it unreliable for analysis. This is where data cleaning comes into play. Data cleaning is the process of identifying and correcting errors in a dataset to ensure accurate and reliable analysis. In this blog post, we will explore various data cleaning techniques that are essential for any aspiring data analyst.