- Data Cleansing
- Data Quality
- Spreadsheet Software
- Data Analysis
- Sampling (Statistics)
- Data Validation
- Data Processing
- Sample Size Determination
- Data Integrity
- Data Transformation
- SQL
Process Data from Dirty to Clean
Completed by NATHANIEL NETE-SIE WILLIAMS JR.
August 17, 2022
16 hours (approximately)
NATHANIEL NETE-SIE WILLIAMS JR.'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
