- Sampling (Statistics)
- Data Transformation
- Data Analysis
- Data Processing
- Spreadsheet Software
- Data Integrity
- Data Quality
- Data Cleansing
- Data Validation
- Sample Size Determination
- SQL
Process Data from Dirty to Clean
Completed by NATASHA RUTENDO MUKUYU
September 26, 2021
16 hours (approximately)
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What you will learn
Define different types of data integrity and identify risks to data integrity.
Apply basic SQL functions to clean string variables in a database.
Develop basic SQL queries for use on databases.
Describe the process of verifying data cleaning results.
Skills you will gain
