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  Data Quality Fundamentals - cnline training course
 
4-hour Online Course by David Wells
Single-user access license

Our Price: $400.00


Product Code: DQ-01-A


Course Exam [Add $80.00]

Description Course Outline Exam Details
 

Data quality is a large and complex field with many dimensions. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are common in quality management. Building upon that foundation, they need to understand how quality management concepts and principles are applied to data, as well as the language and terminology that specifically apply to data quality.

This online training course provides an overview of the field of data quality with the goal of building strong foundational knowledge.

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You will learn:
  • basic concepts, principles, and practices of quality management
  • general quality management terminology
  • data-specific quality management terminology
  • how quality management principles are applied to data
This course is geared toward individuals who:
  • are getting started in the data quality field
  • are preparing for in-depth study of data quality and needs to start with the basics
  • work with data quality professionals and needs to understand what they do
  • need to "speak the data quality language"
 


Average Customer Review: Based on 115 Reviews. Write a review.

  0 of 0 people found the following review helpful:
 
Course Review August 11, 2015
Reviewer: Kathleen Wood  
Excellent Material. The context and progression worked very well.

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  0 of 0 people found the following review helpful:
 
Course Review July 13, 2015
Reviewer: Rajesh Selvaraj  
The course was structured in a good manner. The challenging part is that, we need to connect those examples and principles with our day to day work. Thanks  & keep doing good work. All the Best.

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  0 of 0 people found the following review helpful:
 
Course Review July 13, 2015
Reviewer: Ronald Reiner Cabatingan  
Overall I think it gives an excellent overview of the data quality fundamentals - the tools, techniques, definitions. Just one 'nice-to-have' i like to see: a brief overview on the more recent IT tools for data quality measurement.

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  0 of 0 people found the following review helpful:
 
Course Review July 13, 2015
Reviewer: Sumeet Bhasin  
It creates an environment which fills the gap of an instructor even without having one and is almost like being in class. It could be reduced in content details on the slides.

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  0 of 0 people found the following review helpful:
 
Course Review July 8, 2015
Reviewer: Peter Denyer  
Really strong on content. If the objective is also to embed the knowledge (rather than just awareness), would recommend tests & evaluations and greater interaction as a means to achieve this.

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