DGNDP0: Data Governance for Non‐Data Professionals Learning Plan
The Data Governance for Non-Data Professionals Learning Plan discusses the key concepts around Data Governance and associated practices. Data Governance is often misunderstood, yet it is an essential component of successfully managing data. It drives the business across the board and everyone in an organization needs to understand its value. If all six courses are completed, a certificate will be issued.
This Learning Plan is a collection of six different “What is…?” series of data fundamentals courses. It was developed to help data and non-data professionals build a common language and understanding between them on significant data-related topics.
This Learning Plan provide a means to develop a level of cooperative understanding between business users, executives, teams, and technical professionals across your organization, so that everyone can be on the same page with Data Governance as you move forward with your data programs and initiatives.
Learning Plan Price: $199
Individual Course Price: $49
Learning Plan CEUs: 3 hours
Each Course Includes:
- A 19- to 30-minute educational training video
- A 6- to 9-question exam
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Governance for Non-Data Professionals Learning Plan:
- What is Data Management?
- What is Data Governance
- What is Data Stewardship?
- What is Data Quality?
- What is Metadata?
- What is Data Literacy?
We offer several bulk licensing options for corporate and group use.
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Data Governance for Non-Data Professionals Learning Plan
Course 1: What is Data Management?
- Definitions
- Why We Do Data Management
- Data Value
- Key Data Management Topics
- Summary
Course 2: What is Data Governance?
- Definitions
- Real‐World Understanding of Data Governance
- Related Topics
- Common Activities
- Why Data Governance Seems So Hard
- Key Takeaways
Course 3: What is Data Stewardship?
- Definitions
- Practical Data Stewardship
- Common Activities
- Why We Do Data Stewardship
- Summary
Course 4: What Is Data Quality?
- Definitions
- Pragmatic Data Quality
- Data Quality Dimensions
- Why We Do Data Quality
- Summary
Course 5: What is Metadata?
- Definitions
- A Pragmatic Understanding of Metadata
- Types of Metadata
- Relating to Data Management
- Why We Do Metadata
- Getting Started
- Summary
Course 6: What is Data Literacy?
- Textbook Definitions
- Practical Definition and Data Value
- Why we do Data Literacy
- Key Components of Data Literacy
- Getting Started with Data Literacy
- Summary
Milestone
Complete All Six Courses
1. What is Data Management?
required
Course
Data Management is the overarching umbrella around pretty much everything we do with data. It’s the best place to start. This course examines the core concepts of Data Management, including: definitions, why Data Management is essential to organizational success, the value of data as a whole, key Data Management practices, and more.
View Details2. What is Data Governance?
required
Course
The value of Data Governance is only revealed through the use of the data it governs and the behaviors of the people using that data. This course examines the core concepts of Data Governance and its importance to all enterprise data activities, including: definitions, the value of Data Governance from a business perspective, related data topics, common activities, why Data Governance often seems so difficult, and more.
View Details3. What is Data Stewardship?
required
Course
Where Data Governance sets the policies around data, Data Stewardship is where an organization executes the alignment with those policies. It is where the decisions made around Data Management and Data Governance become reality through action. This course examines the core concepts of Data Stewardship, including: definitions, practical usage of Data Stewardship, common data steward activities, why it’s essential to an organization, and more.
View Details4. What is Data Quality?
required
Course
Data Quality does not simply mean whether or not the data is “right.” It’s much more than that. Data Quality is really about asking how an organization can use information to effectively accomplish a given task and if that data fit for such a use. This course examines the core concepts of Data Quality, including: definitions, a pragmatic understanding, Data Quality dimensions, why organizations need to focus on quality, and more.
View Details5. What is Metadata?
required
Course
Metadata is like drawing a map for a trip; it’s not necessarily the beginning or endpoint of a journey. It provides the context around each point of that particular trip for a given data element. Where Data Management can be seen as the entire journey, metadata is the context that allows the map to be drawn.
View Details6. What is Data Literacy?
required
Course
Data Literacy is about building a collective understanding of the language of data-driven business. It’s about creating a way that we can communicate about data throughout our entire organization. It is a necessary precursor to creating data value, which at its core is the realized difference in costs and risks that we get from using data well versus not using data effectively. It is therefore also an essential piece of the Data Management puzzle.
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