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.
Shopping Cart