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Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for further analysis, modeling, or visualization by ensuring that it is accurate, consistent, and relevant.
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100% positive reviews
8 students
15 lessons
English
Skill level Beginner
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