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Principles of Data Literacy

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Overview

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This no-code course introduces the foundational how’s and why’s of data. How do statistics help us make conclusions from data? Why is good design critical for communicating data stories through data viz? What are the different kinds of analysis we can perform on a dataset? This course will help you feel empowered to answer these questions (and more!) and work with data with confidence.

Syllabus

  • Introduction to Data and Data Literacy: Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
    • Informational: Welcome to Data Literacy
    • Lesson: Case Studies in Data Literacy
    • Lesson: Data Collection
    • Lesson: Data Types and Quality
    • Quiz: Data Types & Quality
  • Thinking About Data: Become wise in the ways of statistical thinking with this approachable yet hearty introduction.
    • Lesson: Statistical Thinking
    • Quiz: Statistical Thinking
    • Project: Statistical Thinking Lab: Movie Statistics
  • Simplifying Statistics with Prompt Engineering: Learn how to work with generative AI models to solve simple statistics questions, and how to collaborate for accurate, straightforward results.
    • Lesson: Simplifying Statistics with Prompt Engineering
    • Quiz: Simplifying Statistics with Prompt Engineering
    • Project: Simplifying Statistics with Prompt Engineering: Coffee Shop Sales Project
  • Data Visualization Basics : Learn the basics of visualizing data to communicate insights to stakeholders. Develop best practices for design, accessibility, and statistical accuracy.
    • Lesson: Data Visualization Basics
    • Quiz: Data Visualization Basics
  • Misleading and Confusing Graphs: Learn how to design effective data visualizations that reduce unconscious bias and improve data communication.
    • Lesson: Misleading and Confusing Graphs
    • Quiz: Misleading and Confusing Graphs
    • Project: Data Visualization Basics Lab: Backyard Birder's Association
  • Analyzing Data: Cover your analysis bases by learning to make informed data decisions and manage bias in its many forms.
    • Lesson: Data Analyses and Conclusions
    • Lesson: Bias in Data Analysis
    • Quiz: Data Analyses and Conclusions Quiz
    • Informational: Next Steps

Taught by

Eva Sibinga

Reviews

4.4 rating at Codecademy based on 301 ratings

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