Udemy

Data Quality Management: PDCA Improvement Framework

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  • 3,652 Students
  • Updated 3/2026
4.1
(08 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 45 Minute(s)
Language
English
Taught by
Dr. Amar Massoud
Rating
4.1
(08 Ratings)

Course Overview

Data Quality Management: PDCA Improvement Framework

Completeness, Accuracy, Timeliness & Consistency | Roles, Business Rules, Techniques & Tools Step by Step

This comprehensive course, "Improve your Data Quality Step by Step" is meticulously designed to guide learners through the intricacies of improving data quality within any organization. Anchored around the model company GreenScape Analytics, this course offers a hands-on approach to understanding and applying the principles of data quality and governance.

Learners will embark on a journey from grasping the foundational concepts of data quality to mastering advanced strategies for data analysis and process improvement. The course structure is built to ensure participants not only learn theoretical aspects but also apply these concepts in real-world scenarios, making the learning experience both engaging and practical.

Throughout this course, participants will learn to identify data quality issues, implement effective data governance strategies, and utilize tools and techniques for data quality improvement. By using GreenScape Analytics as a use case, learners will navigate through the challenges and solutions in enhancing data quality, providing them with valuable insights and skills that can be applied in various professional settings.

Designed for a wide range of learners, from beginners in data management to seasoned professionals looking to update their skills, this course promises to equip participants with the knowledge and tools necessary for successful data quality management. Join us to unlock your potential and elevate your data quality management skills to new heights.

Course Content

  • 12 section(s)
  • 39 lecture(s)
  • Section 1 Introduction
  • Section 2 Dimensions of Data Quality
  • Section 3 Data Quality Roles and Responsibilities
  • Section 4 Data Quality Business Rules
  • Section 5 Data Quality Techniques and Tools
  • Section 6 Data Quality Improvement Approach
  • Section 7 The Plan Phase
  • Section 8 The Do Phase
  • Section 9 The Chek Phase
  • Section 10 The Act Phase
  • Section 11 Conclusion
  • Section 12 Bonus: Free Resource

What You’ll Learn

  • Master steps to enhance data quality in real scenarios., Apply data governance principles using GreenScape Analytics case., Develop skills to analyze and improve data processes., Implement practical strategies for ongoing data quality management.


Reviews

  • A
    Asmaa Benhachfa
    4.0

    Je trouve que c'est bien mais ça reste trop théorique pour moi

  • A
    Amy Soe
    5.0

    Perfect explanation, We got the specific term "GreenScape Analytics" and key identifiers of about data quality with practical examples.

  • E
    Ezell Reed
    4.5

    very informative especially the real world examples

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