Data Literacy Fundamentals
Data Concepts (DL101)
- Data vs. Information
- Population vs. Sample
- Qualitative vs. Quantitative Data
- Correlation vs. Causation
- Data Governance
- ML vs AI
Biases (DL102)
Understand biases to avoid them.
- Sampling Bias
- Confirmation Bias
- Algorithmic Bias
- Availability Bias
Analysis Type (DL103)
Interpret and extract insights from data through various methods and techniques.
- Descriptive Analysis
- Diagnostic Analysis
- Predictive Analysis
- Etc.