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Table of Contents
Table of Contents
Organizations lose billions annually due to poor data quality, yet most professionals lack systematic methods to assess and improve it. This course provides a practical framework to ensure data is fit for purpose.
What You Will Learn
- 1 Define data quality and its business impact across industries
- 2 Identify and apply key data quality dimensions like accuracy and completeness
- 3 Conduct data profiling using SQL and automated tools
- 4 Measure data quality using metrics and establish baselines
- 5 Apply data cleaning and standardization techniques
- 6 Implement data governance policies to sustain quality
- 7 Manage data quality in integration and ETL processes
- 8 Evaluate and select data quality tools and platforms
- 9 Address data quality challenges in big data and AI systems
- 10 Develop a data quality strategy and assess organizational maturity
What's Included
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Data Quality Management