Principles of Data Literacy

Why Principles of Data Literacy?

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.

Take-Away Skills

You will learn how to evaluate data quality, interpret statistical conclusions, create and read data visualizations, and analyze data responsibly.

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1
Introduction to Data
Explore the world of data through case studies, and learn about collection methods and data quality.
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2
Thinking about Data
Become wise in the ways of statistical thinking with this approachable yet hearty introduction.
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3
Visualizing Data
Bring data and visualization together to tell compelling data stories with eye-catching visuals.
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4
Analyzing Data
Cover your analysis bases by learning to make informed data decisions and manage bias in its many forms.
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5
Next Steps
Congratulations on completing the course!
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How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

— Madelyn, Pinterest

I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.