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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
1. Data Integration and Interoperability
Label
KSAC Description
Bloom's Taxonomy Level
a Describe and differentiate Extract, Transform and Load (ETL) vs end user/application processing.
knowledge
2
b Explain synchronicity, latency and reconciliation (between systems).
knowledge
2
c Describe testing and data profiling.
knowledge
2
d Demonstrate the ability to import and export data.
ability
3
e Understand various frameworks to integrate databases with other databases and applications.
knowledge
2
Credentials
Vendor Certifications - DBMS
Oracle Associate Microsoft IBM
Vendor Certifications - Cloud
AWS Oracle Microsoft
