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Data Science & Big Data Analytics

Data Product Quality and Reliability Foundations

This course provides entry-level professionals with the fundamental skills to assess and maintain data accuracy within production environments. It focuses on identifying anomalies and ensuring that data pipelines meet organizational standards for operational utility.

Foundation 12 hours 4.8 (0 reviews) 0 enrolled

£250

Certified Data Quality Assurance Professional

  • Pass mark 70%
  • Certificate on completion
  • Verifiable public certificate ID
  • English · available globally
Direct answers

Data Product Quality and Reliability Foundations: the short answers

What is Data Product Quality and Reliability Foundations?
This course provides entry-level professionals with the fundamental skills to assess and maintain data accuracy within production environments. It focuses on identifying anomalies and ensuring that data pipelines meet organizational standards for operational utility.
Who is Data Product Quality and Reliability Foundations for?
It is pitched at Foundation level for Data Quality Analysts working in Data Science & Big Data Analytics, and is studied online from any country.
How long does Data Product Quality and Reliability Foundations take?
Around 12 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 Assurance Professional, issued as a certificate with a unique ID that employers can check in the public certificate register.
How much does it cost?
£250 once, with no subscription.

What you will be able to do

  • Define criteria for data quality in production environments
  • Perform manual integrity checks on large datasets
  • Document common data drift symptoms
  • Report quality status to technical leads
  • Implement basic validation rules for structured inputs

Written by Dr. Sarah Jenkins, Lead Data Strategist. Every submission is assessed automatically against the published criteria for Certified Data Quality Assurance Professional, and the certificate is issued the moment the assessment is complete.

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