- Data Cleansing
- Data Quality
- Sampling (Statistics)
- Data Analysis
- Data Validation
- Data Access
- Data Processing
- Threat Detection
- Data Collection
The Total Data Quality Framework
Completed by SARAH HASSAN ABDULMAJEED ALZAHRANI SARAH HASSAN ABDULMAJEED ALZAHRANI
March 29, 2024
11 hours (approximately)
SARAH HASSAN ABDULMAJEED ALZAHRANI SARAH HASSAN ABDULMAJEED ALZAHRANI's account is verified. Coursera certifies their successful completion of The Total Data Quality Framework
What you will learn
Identify the essential differences between designed and gathered data.
Summarize the key dimensions of the Total Data Quality (TDQ) Framework.
Describe why data analysis defines an important dimension of the Total Data Quality framework.
Define the three measurement dimensions of the Total Data Quality framework.
Skills you will gain
