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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
Applied Analytics and Decision Making
Analytics Maturity Spectrum
Descriptive Analytics
Historical Data Analysis
Performance Reporting
Trend Identification
Baseline Establishment
Diagnostic Analytics
Root Cause Analysis
Correlation Investigation
Anomaly Detection
Performance Drivers
Predictive Analytics
Forecasting Models
Risk Assessment
Trend Projection
Scenario Planning
Prescriptive Analytics
Optimization Models
Recommendation Systems
Decision Automation
Action Planning
Experimental Design and Testing
Hypothesis Testing Framework
Null Hypothesis Formation
Statistical Significance
Type I and Type II Errors
Power Analysis
A/B Testing Implementation
Test Design Principles
Sample Size Calculation
Randomization Methods
Result Interpretation
Multivariate Testing
Factorial Design
Interaction Effects
Statistical Analysis
Practical Significance
Performance Measurement Systems
KPI Development
Metric Selection
Target Setting
Benchmark Establishment
Review Cycles
Dashboard Design
User Requirements
Visual Design Principles
Interactive Elements
Performance Optimization
Data Storytelling and Communication
Narrative Structure
Story Arc Development
Audience Analysis
Message Clarity
Call to Action
Visualization Best Practices
Chart Selection Guidelines
Color and Design Principles
Accessibility Considerations
Mobile Optimization
Presentation Techniques
Slide Design
Verbal Communication
Question Handling
Follow-up Actions
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6. Organizational Data Culture Development