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The video tutorial outlines the steps in cleaning data including parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements and separating them from source files. Correcting involves fixing errors, such as typos or misspellings. Standardization refers to following a set format or rules. Matching involves searching and finding data across different sources. Consolidating is the final step in combining cleaned data for analysis.