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Data Stewardship Fluency

Take our Data Stewardship for Beginners course and learn who data stewards are, the importance of data stewards, and the responsibilities of a data steward.

What's inside

Syllabus

This lesson will give you an introduction to data stewardship and a high level overview of the course. You will be introduced to the importance of data stewardship and other stakeholders.
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In this lesson, you will learn principles of metadata management such as concepts of metadata, metadata management system and enterprise data models.
This lesson covers all aspects and best practices for Data Quality Management. You will learn techniques for profiling data, identifying data quality issues, measuring and monitoring data quality.
In this lesson, you will learn about what is master data, the master data management lifecycle and different types of master data management architectures.
In this lesson, you will learn the importance of data security and how to set up policies and controls to secure data.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores data stewardship concepts and responsibilities, which are essential for data management
Builds a strong foundation for beginners in data stewardship, laying the groundwork for further learning
Covers key aspects of data governance, including metadata management, data quality management, master data management, and data security
Taught by Udacity, a reputable provider known for its online learning programs
May require additional background knowledge or experience in data management, which could be a drawback for complete beginners
Does not provide hands-on practice or interactive materials, which may limit its effectiveness for learners seeking practical experience

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Activities

Coming soon We're preparing activities for Data Stewardship Fluency. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data Stewardship Fluency will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Stewardship Fluency.
Provides a practical guide to metadata management for practitioners, covering the different types of metadata, the tools and techniques for managing metadata, and the challenges of metadata management.
Provides a practical guide to master data management for practitioners, covering the different types of master data, the tools and techniques for implementing a master data management solution, and the challenges of master data management.
Provides a practical guide to data quality, covering the principles of data quality, the different types of data quality issues, and the tools and techniques for improving data quality.
Provides a comprehensive guide to master data management, covering the principles of master data management, the different types of master data, and the tools and techniques for implementing a master data management solution.
Provides a comprehensive guide to data security, covering the principles of data security, the different types of data security threats, and the tools and techniques for protecting data.
Provides a practical guide to metadata management, covering the principles of metadata management, the different types of metadata, and the tools and techniques for managing metadata.
Provides a practical guide to data security for beginners, covering the basics of data security, the different types of data security threats, and the tools and techniques for protecting data.
Provides a practical guide to metadata management for beginners, covering the basics of metadata management, the different types of metadata, and the tools and techniques for managing metadata.
Provides a practical guide to data stewardship for beginners, covering the basics of data stewardship, the different roles and responsibilities of data stewards, and the tools and techniques for implementing a data stewardship program.

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