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Data Quality Masterclass - The Complete Course (Udemy.com)

Learn Data Quality Management from A to Z. Data Quality principles, techniques, AI methods, governance, best practices.

Created by: Georgi Smarts

Last updated September 2026

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What you will learn

  • What is Data Quality and why it is important
  • What are the different Data Quality Management techniques
  • What are the different Data Quality Dimensions
  • What are the important roles within Data Quality Management
  • Best Practices from the Industry

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.5 out of 5higher than 49% of them
  • Reviews4,794#49 of 372 by number of reviews
  • Length9.8 hourslonger than 75% of them
  • Last updatedSeptember 2026more recently than 94% of them

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Course Description

This course contains the use of artificial intelligence.

Learn quickly with this Data Quality Management course, designed to cover the latest data industry best practices, including how AI tools like ChatGPT and Copilot are transforming Data Quality work.

The course is structured to make it easy for absolute beginners to get started, while still delivering strong value for professionals working with data.

You will gain a deep, practical understanding of Data Quality Management, using hands-on, contextual examples that clearly show why Data Quality matters and how to apply Data Quality principles to manage data effectively across your organization. AI-assisted workflows are introduced to show how modern teams scale and automate Data Quality tasks.

In this Data Quality Management course, you will learn:

• What Data Quality is
• What Data Quality Management is
• Why Data Quality is important and how it impacts business outcomes
• Core Data Quality dimensions
• Data Quality rules and validation logic
• Data profiling techniques
• Data parsing methods
• Data standardization approaches
• Identity resolution concepts
• Record linkage techniques
• Data cleansing strategies
• Data enrichment and enhancement
• The Data Quality process end to end
• Key Data Quality roles and responsibilities
• Data Quality tools and why they matter
• Data Quality best practices used in the industry
• How AI tools like ChatGPT and Copilot support Data Quality analysis, documentation, and automation

…and much more.

Enroll today and get:

• Lifetime access to the course
• 7 hours of high-quality, up-to-date video lectures
• A practical, step-by-step Data Quality course
• Real-world techniques you can apply immediately
• Guidance aligned with modern, AI-enabled data teams

Thanks for checking out the course. I look forward to seeing you in the classroom.

This course contains a promotion.

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Instructor Details

Georgi Smarts

Hello!

I’m Georgi, though most know me as George Smarts.

I’ve spent 12 years helping Fortune 500 companies improve the way they deliver projects, solve data challenges, and work as teams. I love what I do and I enjoy teaching others how to get real results using the same skills and tools I’ve mastered over the years.

I’ve had the chance to work on large-scale international IT and data initiatives, and along the way I’ve used just about every major project management platform, productivity tool, and a growing range of AI solutions. My approach is practical and hands on. Everything I teach comes from real experience, not theory.

Here are the areas I focus on and why they matter to me:

• Project Management software tools. I enjoy discovering features that help people work together more efficiently and deliver better outcomes. I have experience with all the big players in this space.


• Data and analytics. I’ve led many data initiatives. I enjoy making complex concepts simple and helping others build confidence using data to make decisions.


• AI tools for everyday work. I help professionals understand how to use AI to reduce repetitive tasks, improve communication, strengthen planning, and make better decisions.

My courses are designed to help you:

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Reviews

4.5

4,794 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By John Paul Q. Dolar on 2/27/2026

The learning process in this course is very smooth. You can easily follow with the discussion because all topics are thoroughly discussed. The quizzes and practice test at the end of the topic is a great tool to assess your learning progress. Thank you.

By Maricel T. Gicana on 2/27/2026

Taking this subject has given me a deeper appreciation of how vital data quality is in every organization. Learning the principles and techniques from accuracy and completeness to governance and AI-driven methods has shown me that data is not just information, but a foundation for trust, transparency, and effective decision-making. I value how the course emphasizes both technical tools and ethical governance, reminding us that quality data supports accountability and sustainable growth. My expectation is to apply these insights in real-world programs, ensuring that data is validated, reliable, and truly serves the people and communities we work with.

By Sergey Savitskiy on 8/30/2025

I really liked this courses because of its structure, transparency and simple way of material explanation, which really helps to understand main idea of Data Quality, its key concepts, use-cases. Highly recommended from my side!

By Neha Chaurasia on 8/22/2025

I have been working as an MDM consultant and came across various tools and practices to apply data quality and governance. This course gave me a structured way of diving into topics which I had known but haven't defined it the way it is done here. thanks for the insight.

By Shivakumaar Jagadeeshan on 7/29/2025

A useful course that provides a good overview and insight into the world of data quality and how it fits into Data Governance. The demo tool (Collibra) gives us some practical know-how of how a data quality analyst would operate. I recommend this course.

By David Daniel Gaona López on 2/7/2025

Ofrece un conocimiento general de los procesos de calidad de datos, me gustó mucho el curso. Estaría genial tener otro curso con ejemplos completos analizando fuentes de datos de Excel y otro ejemplo con conexión a base de datos, eso estaría genial.

By Eddie Alexis Rodriguez on 7/21/2024

Muy agradecido de haber tomado este curso. Siendo un consultor junior y viniendo de una experiencia un poco tediosa de un proyecto de calidad de datos, mediante el conocimiento transmitido en este curso he podido relacionar muchos de los conceptos y procesos en los que me vi involucrado. Asimismo, ahora que conozco las buenas prácticas y técnicas me pudieran ayudar a lidiar de mejor manera aquellos gaps que enfrente anteriormente, considero que este curso me ha sido de mucho provecho para mi desarrollo profesional, por lo que lo recomendaría definitivamente y le doy 5 estrellas bien ganadas.

By Anonymized User on 4/8/2024

Thank you so much for providing an outstanding course! The course was well-balanced, with informative lectures, well-designed quizzes, and practical examples. I appreciate your efforts in creating such a great learning experience. Thanks again, and I will be waiting for new courses!

By Jack Maalouf on 8/9/2023

The theory and explanations of how and why things are done were very intuitive for me. I feel like I have a good overview of how data quality works. I would have had a more rich understanding if there were more practice examples and maybe more evaluations. I understand the data quality tools cost a lot of money but I think Excel could have been used more as a way for me to practice the data quality techniques I learned.

By Juan Carlos Sipan Robles on 3/19/2023

The course has a good and direct content. I think it could be very good to develop a practical case of DataQuality presenting the use of some tools and concepts. This would make this course a 5 star one. Thank you very much for the course. Congratulations.

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Overall Score : 90 / 100