Students will learn core concepts associated with electronic data, both structured and unstructured, and its representation, relationships, organization, and use. Students will learn about knowledge structures and standards used to represent data and ensure interoperability and scalability. This course is a complement to database management and will help prepare students to engage in effective data analytics and data science.
Learning Objectives
- Apply appropriate methods to represent electronic data.
- Analyze use cases for data to determine appropriate representation (e.g., metadata, ontologies).
- Explain how data organization works in contexts of data creation and use.
- Locate existing standards for data organization and apply them appropriately in context.
- Demonstrate how data organization methods scale in contexts of size, heterogeneity, and time.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.