Data Quality Analyst – Beginner
50% OFF – Usually £1050
The Data Quality Analyst – Beginner course starts by providing an overview of what data management is and why it is important for an organisation to effectively manage the data they hold. The course then proceeds to explore how data quality assessment & control is used to improve the organisation’s management of data.
Following this we learn what critical data is and how this critical data will be documented in the CDE data standard. We explore why critical data is important, why it is required to be of high quality and how the actions which are needed to maintain this quality will be documented.
The course then goes on to explain some of the common techniques used when trying to improve the quality of data in an organisation. The process of profiling the data to see the level of quality along with the creation of data quality rules to assess the quality of data are some of the areas explained. The course also explains some of the methods used by organisations to fix the quality of poor data which has been identified. Techniques such as data transformations and standardisations along with the use of data quality domains is detailed.
All of this will help users get a clear understanding of what is needed to be a data quality analyst by understanding how poor data quality needs to be identified and fixed.
- An Introduction to Data Management
- The Importance of Data Management
- An Introduction to Data Quality Assessment & Control
- The Importance of Data Quality Assessment & Control
- Critical Data Elements (CDE)
- CDE Data Standards
- Data Profiling
- Data Quality Rules
- Data Quality Dimensions
- Data Quality KPI’s
- Data Quality Managment Information
- Data Transformations & Standardisation
- Data Quality Domains
Or email email@example.com with any queries.
13 Modules – Including 39 Practice Tests
130+ Interactive Questions
3 Final Practice Tests
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