How to Use SQL to Clean and Prepare Data for Data Analytics Projects
Introduction: Why Data Cleaning Matters in Analytics Every successful data analytics project begins with clean and well-prepared data. In most organizations, raw data is often incomplete, inconsistent, or filled with errors. Before analysts can extract insights, they must clean and organize the data and that’s where SQL (Structured Query Language) becomes a powerful tool. Whether...
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