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Computer Science
Data Science
Data Literacy and Strategy
1. Foundations of Data Literacy and Strategy
2. Building Data Literacy Skills
3. Critical Data Evaluation Skills
4. Strategic Data Planning
5. Applied Analytics and Decision Making
6. Organizational Data Culture Development
7. Advanced Strategic Considerations
Strategic Data Planning
Vision and Goal Setting
Data Vision Development
Organizational Alignment
Stakeholder Engagement
Future State Definition
Success Metrics
Problem and Opportunity Identification
Business Challenge Analysis
Market Opportunity Assessment
Competitive Gap Analysis
Innovation Potential
Strategic Objective Setting
SMART Goals Framework
Key Performance Indicators
Success Measurements
Timeline Development
Use Case Prioritization
Business Value Assessment
Implementation Complexity
Resource Requirements
Risk Evaluation
Data Governance Framework
Governance Principles
Accountability Structures
Transparency Requirements
Stewardship Responsibilities
Compliance Obligations
Organizational Roles
Chief Data Officer
Data Owners
Data Stewards
Data Custodians
Data Users
Policy Development
Data Quality Standards
Access Control Policies
Retention Guidelines
Privacy Protections
Master Data Management
Master Data Definition
Data Standardization
Reference Data Management
Data Integration Rules
Metadata Management
Data Documentation
Business Glossaries
Data Lineage Tracking
Impact Analysis
Technical Architecture Planning
Storage Platform Selection
Data Warehouse Design
Data Lake Architecture
Hybrid Solutions
Cloud vs On-premise
Data Integration Strategy
ETL Process Design
Real-time Integration
Data Pipeline Architecture
API Management
Technology Stack Planning
Tool Selection Criteria
Vendor Evaluation
Integration Requirements
Scalability Considerations
Security and Compliance Framework
Data Classification Systems
Sensitivity Levels
Handling Requirements
Access Restrictions
Audit Trails
Access Control Implementation
Authentication Systems
Authorization Models
Role-based Access
Monitoring Systems
Regulatory Compliance
GDPR Requirements
Industry Regulations
Data Sovereignty
Audit Preparation
Ethical Data Use
Privacy Protection
Consent Management
Algorithmic Fairness
Transparency Obligations
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3. Critical Data Evaluation Skills
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5. Applied Analytics and Decision Making