English | Size: 1.5 GB
Genre: eLearning
Learn Data Quality Management from A to Z. This complete guide covers all Data Quality Principles, Techniques and more
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 my Data Quality Management course that covers the latest best practices from the Data Industry
The course is structured in such a way that makes it easy even for absolute beginners to get started!
This course will give you a deep understanding of the Data Quality Management discipline by using hands-on, contextual examples designed to showcase why Data Quality is important and how how to use Data Quality principles to manage the data in your organization.
In this Data Quality course you will learn:
· What is Data Quality
· What is Data Quality Management
· Why is Data Quality Important and how it affects your business
· What are the different Data Quality Dimensions
· What are Data Quality Rules
· Profiling
· Data Parsing
· Data Standartization
· Identity resolution
· Record linkage
· Data cleansing
· Data enhancement
· What is the Data Quality Process
· What are the different Data Quality Roles
· Data Quality Tools and their importance
· Data Quality Best practices
and much, much more!
Enroll today and enjoy:
Lifetime access to the course
6 hours of high quality, up to date video lectures
Practical Data Quality course with step by step instructions on how to implement the different techniques
Thanks again for checking out my course and I look forward to seeing you in the classroom!
Who this course is for:
Professionals working in a data organization
Professionals that want to undertand what is Data Quality and how it can help their organization
Data Management professionals
Management that wants to gain knowledge in the importance of Data Quality Management
Anyone that wants to learn about Data Quality and add another skill to their resume
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