Data Literacy

Data literacy is the ability to read, understand, create, and communicate data as information. It involves skills in interpreting data visualizations, understanding basic statistics, and making data-driven decisions. This foundational competency enables individuals to work effectively with data across various domains, from business analytics to scientific research.

Also known as: Data Fluency, Data Skills, Data Competency, Data Understanding, Data Proficiency

Why learn Data Literacy?

Developers should learn data literacy to enhance their ability to build data-informed applications, collaborate with data scientists, and optimize systems based on metrics. It is crucial for roles involving data analysis, machine learning, or business intelligence, such as when developing dashboards, implementing A/B testing, or improving user experiences through data insights.

Learning Resources

• course: Data Literacy Fundamentals
• tutorial: Data Literacy: A User's Guide
• docs: The Data Literacy Project
• course: Data Literacy for All
• video: Introduction to Data Literacy