- Data Quality
- Data Transformation
- Sample Size Determination
- Data Processing
- Data Integrity
- Sampling (Statistics)
- Spreadsheet Software
- Data Validation
- Data Analysis
- SQL
- Data Cleansing
Process Data from Dirty to Clean
Completed by Peter Ngigi
September 26, 2024
16 hours (approximately)
Peter Ngigi's account is verified. Coursera certifies their successful completion of Process Data from Dirty to Clean
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
