View Other Occupations
Foundational Skills
1. Professional Communication & Data-Informed Storytelling
2. Collaboration, Teamwork, & Workplace Professionalism
3. Adaptability, Learning, & Growth Mindset
4. Problem Solving, Critical Thinking & Judgment
5. AI & Data Literacy (Foundational)
6. Ethics, Data Responsibility & Security Awareness
7. Foundational Project & Work Management
Cybersecurity
1. IT Fundamentals
2. Networking Fundamentals
3. Programming/Scripting Fundamentals
4. Cloud Fundamentals
5. Cybersecurity Basics
6. Privacy Ethical, Legal and Regulatory Considerations
7. Incident Response
8. Network Security & Engineering
9. Systems Security
10. Data Security
11. Secure Software
12. Risk Management & Risk Assessment
Data Management and Analytics
1. Data Management, Governance, and Foundations
2. Data Storage, Platforms, Operations, and Access
3. Data Modeling and Design
4. Data Integration, Pipelines, and Automation
5. Data Quality, Validation, and Monitoring
6. Data Analytics, Statistics, and Interpretation
7. Data Visualization and Communication
8. Ethics, Privacy, and Responsible AI Use
Machine Learning
1. Mathematical & Statistical Machine Learning
2. Machine Learning Models & Algorithms
3. Data Visualization and Communication Data Interpretation, Visualization, and Communication
4. Application of Machine Learning Models & Algorithms
5. Data Ethics
Networking
1. Cloud
2. Protocols
3. Networking Fundamentals
4. Fundamental Security and Professional Practices
5. Operating System
Software Development
1. Database, Networking, Distributed System Fundamentals
2. Fundamental Programming Concepts
3. Fundamental Data Structures
4. Development Methods
5. Algorithms and Design
6. Software Design
7. Software Construction and Analytics
8. Software Tools and Environment
9. Software Verification and Validation
10. Secure Coding Principles
3. Data Quality & Privacy
Label
KSAC Description
Bloom's Taxonomy Level
a Explain data quality in terms of accuracy, completeness, consistency, integrity and timeliness.
knowledge
3
b Describe and differentiate business data quality vs technical data quality.
knowledge
2
c Demonstrate ability to identify data quality issues.
knowledge
3
d Demonstrate ability to implement authorization and access control as part of data management.
knowledge
3
Credentials
Vendor Certifications - DBMS
Oracle Associate Microsoft IBM
Vendor Certifications - Cloud
AWS Oracle Microsoft
