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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.
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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.
Read more
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.
Read more
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
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
Save this course
Save Data Stewardship Fluency to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Stewardship Fluency with these
activities:
Review basic data concepts
Show steps
Refresh your understanding of foundational data concepts to ensure a strong knowledge base for the course.
Browse courses on
Data
Show steps
-
Review definitions of key data terms
-
Recall the different types of data
-
Practice identifying data types in sample scenarios
Explore data stewardship concepts
Show steps
Start by refreshing your knowledge of data stewardship and governance to prepare for the course.
Browse courses on
Data Stewardship
Show steps
-
Read articles and blog posts on data stewardship
-
Watch videos on data governance and stewardship
-
Attend a webinar on data stewardship best practices
Participate in data stewardship discussion forums
Show steps
Engage with peers to discuss data stewardship challenges, best practices, and emerging trends, fostering a collaborative learning environment and expanding your knowledge.
Show steps
-
Join online data stewardship forums or discussion groups
-
Actively participate in discussions by sharing insights and asking questions
-
Collaborate with peers on data stewardship projects
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join a peer study group
Show steps
Join a peer study group to engage with classmates and reinforce your understanding through discussions.
Browse courses on
Data Stewardship
Show steps
-
Find and join a peer study group
-
Prepare for group meetings
-
Participate in group discussions
Explore data stewardship tools
Show steps
Gain practical experience using data stewardship tools to enhance your understanding of their capabilities and applications.
Show steps
-
Identify different data stewardship tools available
-
Follow tutorials on using these tools for data profiling, data quality management, and data security
-
Experiment with the tools to understand their features and limitations
Practice data profiling
Show steps
Engage in data profiling exercises to solidify your understanding of data quality management.
Browse courses on
Data Profiling
Show steps
-
Download and explore a sample dataset
-
Use data profiling tools to analyze the dataset
-
Identify and correct data quality issues
Build a data stewardship plan
Show steps
Follow guided tutorials to develop a comprehensive data stewardship plan.
Show steps
-
Identify data stewardship stakeholders
-
Define data stewardship roles and responsibilities
-
Develop data stewardship policies and procedures
Write a blog post on data stewardship
Show steps
Create a blog post to share your knowledge and understanding of data stewardship.
Browse courses on
Data Stewardship
Show steps
-
Choose a topic related to data stewardship
-
Research and gather information on the topic
-
Write and edit your blog post
Mentor a junior data steward
Show steps
Mentor a junior data steward to share your knowledge and enhance your own understanding through teaching.
Browse courses on
Data Stewardship
Show steps
-
Identify a junior data steward who needs guidance
-
Provide guidance and support on data stewardship practices
-
Answer questions and share resources
Contribute to a data stewardship open-source project
Show steps
Contribute to an open-source data stewardship project to gain practical experience and connect with the community.
Browse courses on
Data Stewardship
Show steps
-
Identify a data stewardship open-source project to contribute to
-
Review the project documentation and codebase
-
Identify areas where you can contribute your skills
Review basic data concepts
Show steps
Refresh your understanding of foundational data concepts to ensure a strong knowledge base for the course.
Browse courses on
Data
Show steps
Show steps
Show steps
- Review definitions of key data terms
- Recall the different types of data
- Practice identifying data types in sample scenarios
Explore data stewardship concepts
Show steps
Start by refreshing your knowledge of data stewardship and governance to prepare for the course.
Browse courses on
Data Stewardship
Show steps
Show steps
Show steps
- Read articles and blog posts on data stewardship
- Watch videos on data governance and stewardship
- Attend a webinar on data stewardship best practices
Participate in data stewardship discussion forums
Show steps
Engage with peers to discuss data stewardship challenges, best practices, and emerging trends, fostering a collaborative learning environment and expanding your knowledge.
Show steps
Show steps
Show steps
- Join online data stewardship forums or discussion groups
- Actively participate in discussions by sharing insights and asking questions
- Collaborate with peers on data stewardship projects
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join a peer study group
Show steps
Join a peer study group to engage with classmates and reinforce your understanding through discussions.
Browse courses on
Data Stewardship
Show steps
Show steps
Show steps
- Find and join a peer study group
- Prepare for group meetings
- Participate in group discussions
Explore data stewardship tools
Show steps
Gain practical experience using data stewardship tools to enhance your understanding of their capabilities and applications.
Show steps
Show steps
Show steps
- Identify different data stewardship tools available
- Follow tutorials on using these tools for data profiling, data quality management, and data security
- Experiment with the tools to understand their features and limitations
Practice data profiling
Show steps
Engage in data profiling exercises to solidify your understanding of data quality management.
Browse courses on
Data Profiling
Show steps
Show steps
Show steps
- Download and explore a sample dataset
- Use data profiling tools to analyze the dataset
- Identify and correct data quality issues
Build a data stewardship plan
Show steps
Follow guided tutorials to develop a comprehensive data stewardship plan.
Show steps
Show steps
Show steps
- Identify data stewardship stakeholders
- Define data stewardship roles and responsibilities
- Develop data stewardship policies and procedures
Write a blog post on data stewardship
Show steps
Create a blog post to share your knowledge and understanding of data stewardship.
Browse courses on
Data Stewardship
Show steps
Show steps
Show steps
- Choose a topic related to data stewardship
- Research and gather information on the topic
- Write and edit your blog post
Mentor a junior data steward
Show steps
Mentor a junior data steward to share your knowledge and enhance your own understanding through teaching.
Browse courses on
Data Stewardship
Show steps
Show steps
Show steps
- Identify a junior data steward who needs guidance
- Provide guidance and support on data stewardship practices
- Answer questions and share resources
Contribute to a data stewardship open-source project
Show steps
Contribute to an open-source data stewardship project to gain practical experience and connect with the community.
Browse courses on
Data Stewardship
Show steps
Show steps
Show steps
- Identify a data stewardship open-source project to contribute to
- Review the project documentation and codebase
- Identify areas where you can contribute your skills
Career center
Learners who complete Data Stewardship Fluency will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/brg0y9/data
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.
Save
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.
Save
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.
Save
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/brg0y9/data
Share
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Effort
10 hours
Via
Udacity
Language
English
Good to know
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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