A Comprehensive Practice Exam for Data Quality Management Professionals
Sub Category
- Data Science
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Objectives
- Conduct Data Profiling: Learn how to assess the quality of datasets by identifying anomalies, inconsistencies, and errors
- Master Data Cleansing Techniques: Gain expertise in various data cleansing methods, such as deduplication, standardization, to improve data quality
- Implement Data Quality Programs: Understand how to develop and implement data quality programs that align with business strategies and objectives
- Evaluate Data Quality Tools: Develop the ability to critically evaluate and select data quality tools and technologies that best suit organizational needs.
Pre Requisites
- Pass the CDMP Fundamentals Exam: You must first pass the CDMP Fundamentals exam with a score of 70% or higher
- Complete Relevant Training: It's recommended to complete relevant training or coursework in data quality to prepare for the specialist exam
- Gain Work Experience: While not always mandatory, having relevant work experience in data management or a related field can be beneficial.
- Register for the Exam: You need to register for the Data Quality Specialist exam through DAMA International, the organization that offers the CDMP certification
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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