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REGISTER NOW: What Even is Data Science?!: A Roundtable Discussion on 10/5 at 1pm ET.
DATA IS EVERYWHERE.
EVERY K-12 STUDENT
NEEDS TO LEARN IT.
Our Mission
Data Science for Everyone (DS4E) is a growing coalition of individuals and organizations elevating the importance of data literacy and expanding access to K-12 data science education - for every student.
They're in. Are you?
What is it?
cleaning
modeling
trends
clarity
problem-solving
numbers
interpretation
insights
visualization
analysis
coding
statistics
information
datasets
automation
responsibility
communication
hypothesis
patterns
graphs
computers
exploration
algorithms
ethics
stories
business
bias
spreadsheets
Data literacy is a key 21st century skill for nearly every occupation and daily life. It helps us better engage in the world around us and make informed decisions.
It is not just for mathematicians or technical specialists.
So what needs to change?
Data-centric careers are growing by 35% annually but over 60% of companies struggle to find data literate talent.
Students who are data literate must be able to read, analyze, and communicate with data, but the reality is most middle and high schools don’t teach students these valuable skills. We need educational opportunities for every student to reflect the needs of the modern economy.
We all play a role in achieving this:
Schools & Districts | Policymakers | Organizations & Industry | Teachers | Individuals
Raising Awareness
Community Building
Our work is centered around 4 pillars:
Resources & Support
Policy Advocacy
Since launching in 2019, our coalition has created a lot of buzz
More than 270 Commitments impacting 3+ million students
2+ million downloads of our Freakonomics podcast
Profiles in EdSurge and the Wall Street Journal
20 states rolling out data science learning
Supporters
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The Data Science for Everyone Coalition is the brainchild of Steve Levitt, Freakonomics author and William B. Ogden Distinguished Service Professor of Economics at the University of Chicago.
Our work is generously supported by:
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