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The steps in cleaning data include parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements and isolating them in the source files. Correcting involves fixing errors like typos or misspellings. Standardizing means following a set format for data. Matching is searching and finding similar data across different sources. These steps are crucial for cleaning and organizing data effectively.