Enterprise Analytics Quality Assurance and Audit
This course equips data quality managers with the rigorous methodology required to audit large-scale analytical systems. It focuses on developing robust audit trails, quality metrics, and control mechanisms for enterprise data integrity.
£550
Certified Data Quality Auditor
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Enterprise Analytics Quality Assurance and Audit: the short answers
- What is Enterprise Analytics Quality Assurance and Audit?
- This course equips data quality managers with the rigorous methodology required to audit large-scale analytical systems. It focuses on developing robust audit trails, quality metrics, and control mechanisms for enterprise data integrity.
- Who is Enterprise Analytics Quality Assurance and Audit for?
- It is pitched at Advanced level for Data Quality Managers working in Data Science & Big Data Analytics, and is studied online from any country.
- How long does Enterprise Analytics Quality Assurance and Audit take?
- Around 28 hours of study, plus the assessed assignments and one applied project.
- How is the certification assessed?
- Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
- What do I receive when I pass?
- Certified Data Quality Auditor, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £550 once, with no subscription.
What you will be able to do
- Design comprehensive data quality audit frameworks
- Implement automated validation protocols
- Execute root-cause analysis for data discrepancies
- Draft enterprise-level data quality policies
Written by Eleanor Vance, Head of Data Governance. Every submission is assessed automatically against the published criteria for Certified Data Quality Auditor, and the certificate is issued the moment the assessment is complete.
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