Overview
This course covers the data life cycle from cradle to grave, learns about management priorities for every phase of the life cycle, and develops overall literacy on handling data as a strategic asset. This course emphasizes data management practices that tie to AI and machine learning applications.
GSA: $18.25 USD
3 PDUs
Next Upcoming Course
Train up your teams with private group training
Have a group of 5 or more students? Cprime also provides specialist private training with exclusive discounts for tailored, high-impact learning.
Full Course Details
Part 1: Understanding what data management is and why it is an important asset
- Why we need data management
- Who and what is impacted by data
- Data as an organizational asset
Part 2: Understanding strategic data priorities
- Prioritize data assets
- What’s at stake if we fail to properly manage data?
- How data relates to AI
Part 3: Data Strategy
- Seven goals
- Guiding Principles
Part 4: Overview of the Data Lifecycle
- Phases of the lifecycle
- Data Framework
Part 5: Where Data Management Fits
- Manage for planning
- Planning key questions
- Collect key data and questions
- Developing a quality insurance plan
Part 6: Manage Across the Lifecycle
- What is data architecture?
- What is data governance?
- Core data stewardship concepts
- Data security and privacy
Part 7: Final Assessment
This Basic Data Management self-paced course will be invaluable for:
- Data strategy owners
- Data managers
- Data engineers
- Artificial intelligence stakeholders
- Database administrators
- Digital transformation leaders
- Data integrators
- Understand why data is such an important asset
- Review who and what is impacted by data
- Why data management facilitates a culture of better data-driven decisions
- Examine the data lifecycle and each of its phases
- Learn how to manage data based on the phases of its lifecycle
- Understand data management priorities that transcend individual phases of its lifecycle
- Collect. Prepare, store, use, and manage data so it’s well-suited to AI ad machine learning applications
- Learn why a data management strategy depends on mission objectives