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Udemy

Data Quality Masterclass - The Complete Course

via Udemy

Overview

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

What you'll 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

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.

This course contains the use of artificial intelligence.

Syllabus

  • Introduction
  • The Basics
  • 6 Key Data Quality Dimensions
  • Data Quality Rules
  • Data Quality Techniques/Tools
  • Data Quality Roles
  • Data Quality Process
  • Data Quality Tools
  • Data Governance - a must know for Data Quality
  • Data Quality Best Practices
  • Example of a Data Quality Tool - a quick look
  • Practice
  • What Next

Taught by

George Smarts

Reviews

4.5 rating at Udemy based on 4457 ratings

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