Data Cleaning

Data cleaning is the process of identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the quality and reliability of the data. As data-driven decision-making becomes increasingly crucial in the tech industry, data cleaning plays a vital role in preparing data for analysis, machine learning, and other applications, making it a fundamental step in extracting insights and driving business outcomes.