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Data Cleaning with SQL Told by a Full-Time Data Analyst
Data cleaning is one of the most essential steps in any data analysis project. It’s the process of preparing raw data for analysis by fixing errors, removing inconsistencies, and ensuring that your dataset is accurate and reliable. As a full-time data analyst, I often rely on SQL to handle data cleaning tasks efficiently.
In this blog, I’ll walk you through practical SQL techniques for cleaning data — step by step.
If you’re looking for personalized guidance on mastering SQL or tackling data challenges, book a mentorship session with me on Topmate or explore my resources on Linktree.
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