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Data Research
·
Module 8
Project: Data Cleaning
1
Data Cleaning and Organization: Assessment Strategies
Assess a raw dataset to identify cleaning and organization requirements.
2
Data Cleaning Essentials
Execute data cleaning tasks on the project dataset (removing duplicates, correcting errors, standardizing formats).
3
Data Refinement and Final Output Generation
Restructure the cleaned data into a well-organized final output based on project requirements.
4
Data Validation & Delivery Summary
Perform final validation of the cleaned data and write a delivery summary.
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