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Data Quality Fundamentals
Data Quality Fundamentals - cnline training course
 
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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: 4.5 of 5 Total Reviews: 130 Write a review.

  0 of 0 people found the following review helpful:
 
Course Review March 31, 2017
Reviewer: Sheila M. O'Farrill  
I like the presentation, the material, and that the instructor speaks slowly so it is easy to understand. However, in my opinion based on the description at the beginning of the course I was expecting  more basic terminology and information.

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  0 of 0 people found the following review helpful:
 
Course Review March 31, 2017
Reviewer: Donna Krueger  
Thus far, the courses have been great.  I would recommend the following: While each module provides a review of topics covered, an end of course review (with review questions) that represent the TYPES of questions the student will encounter would be most.

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  0 of 0 people found the following review helpful:
 
Course Review March 31, 2017
Reviewer: Charles Baldwin  
The course was structured well and the instructor added some important insights to the actual written content in the slides. Overall a well-balanced course with enough detail to enable real-life application while ensuring the key holisitic concepts are understood.

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  0 of 0 people found the following review helpful:
 
Course Review March 28, 2017
Reviewer: Kick Vieleers  
Very interesting and educational. Some quick Q&A between lessons would be nice. It makes it more interactive and gives an idea of understanding.

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  0 of 0 people found the following review helpful:
 
Course Review December 20, 2016
Reviewer: Vanessa Morales  
This course has helped me better understand and appreciate the significance of having good data quality as well as the effects of poor data quality.

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