About Us
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who we are
Data powers the world, and at girls + data, we inspire our students to become responsible digital citizens and data-driven decision makers by teaching them about the importance of data and how data is collected and used through hands-on learning opportunities.
We are 100% reliant on the generosity of our sponsors and the time donated by our core volunteers.
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our story
Kira Wetzel founded girls + data after speaking on a panel of women IT professionals as part of a Girls in Tech - Milwaukee program. Young women in grades K-12 and their parents attended the panel, and Kira answered several questions about one serious misconception: a career in technology means a career in computer science and "coding."
As a woman who loves data analytics and uses programming "some of the time," Kira has set out to dispel the idea that you have to be a "coder" to be a woman in tech.
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Kira Wetzel
- founder of girls + data
Women are needed in data analytics in a variety of roles that require the type of computational thinking that girls + data teaches regardless of whether they use programming in their primary roles.
our programs
Meet us at the intersection of art, math, and technology!
Currently we offer two options - Live Virtual Events and e-Learning.
our impact
Since the first Data Camp in 2017, girls + data has provided hands-on learning opportunities in data and analytics to middle school girls through more than 39 live events (both in-person and virtual) and 8 course offerings on our asynchronous e-Learning portal. Topics have ranged from Data Visualization to Predictive Analytics, and our students continue to ask for more opportunities to learn about data!
988
girls trained at 39 live events (in person & virtual) since 2017
76%
of students would like to attend another event!
88%
of attendees want to learn more about data
our mission
girls + data is a 501(c)(3) non-profit organization on a mission to increase data literacy among young women at an early age and to expose middle school girls to technology careers in data analytics that don't require them to code 100% of the time.
