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Build Your Data Literacy

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Overview

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Learn to interpret, explore, and communicate effectively with data.
  • Understand the importance of data literacy and how to work effectively with data.
  • Learn how to recognize good data and restructure data when needed.
  • Learn how different variable types impact fields of data.
  • Learn to explore large trends in data and see the details behind those trends.
  • Learn about data distributions and how to graphically represent them.
  • Explore variations to make informed comparisons between datasets.
  • Learn the concepts of correlation and regression to better analyze data.

Syllabus

  • Data Literacy Basics
    • Understand Data Literacy
    • Explore Data by Asking Good Questions
    • Learn Data Fundamentals
  • Well-Structured Data
    • Identify Data Characteristics
    • Learn How Data Is Organized
    • Restructure Data
  • Variables and Field Types
    • Discover Variables and Field Types
    • View Variables in Visualizations
  • Aggregation and Granularity
    • Explore Aggregation
    • Explore Granularity
  • Data Distributions
    • Learn How to Show Distributions of Discrete Variables
    • Use Histograms to Show Distributions of Continuous Variables
    • Use Box Plots to Show Distributions of Continuous Variables
  • Variation for Data Comparisons
    • Measure Variance
    • Estimate Probability
    • Make Inferences
  • Correlation and Regression
    • Examine Correlation in Data
    • Discover Relationships Using Linear Regression
  • Guidelines to Recognize Misleading Charts
    • Define Misleading Charts
    • Question the Data
    • Check Axes
    • Avoid Misleading Chart Design
    • Read Charts with Confidence
  • Communication with Charts
    • Discover Why We Need Charts
    • Apply Visualization Attributes and Principles
    • Make Time Series, Ranking, Part-to-whole, and Nominal Comparisons
    • Make Deviation, Distribution, and Correlative Comparisons
    • Know When and How to Use Tables, Maps, and More

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