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Data Science
Data science is part of the following Field Guide(s):
Insider Insights
Tips from Tatheer Adnan-
Not all data scientists have a background in Computer Science, Math, or Statistics. For example, I come from a bioengineering background. You can work towards learning the underlying statistics and programming skills needed on your own or in more formal classroom settings. Usually, getting real world experience is the most important.
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A lack of confidence, or feeling inadequate, is a common experience. Although there may be differences in natural ability, I think hard work and really pushing yourself will always exceed any sort of innate natural capacity for something. Learning itself is a skill.
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Don't avoid classes, extracurriculars, and projects out of fear of failing or not being good enough. You'll still learn more from failing than you would have learned taking a class that was easy for you.
Related Scientists
Discover the work and stories of other people working in math + statistics and applied sciences.
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Bryan Yee
Knowledge Specialist & Cyclist
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Dilip Merala
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Cesar Hidalgo
Network Scientist & Selfie-Lover
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Noor Al-Alusi
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Recommended Resources
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Menstruation Animation
Check out Tatheer’s latest project. A new educational animation that debuted at the Museum of Science in Boston over the summer aims to give children and families the chance to learn about menstruation—a topic that caregivers sometimes shy away from and that young people may have limited knowledge about.
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Data Science for Kids: Teach Data Science and Coding
Data science is the field of science that works to organize information so it can be used. From weather reports to business analytics, huge amounts of data surround us every moment. When used correctly, data guides our decisions and helps move society as a whole forward. But it’s not just for the adults. Data science is for kids, too!
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Data Science Lessons
This page shares five units of youcubed lessons that introduce students (and teachers) to data science. The units start with an introduction to the concept of data and move to lessons that invite students to explore their own data sets. These lessons teach important content through a pattern-seeking, exploratory approach, and are designed to engage students actively.
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Data Games For High School Students
Playing computer games creates a lot of data, which usually disappear when the game is over. But in Data Games, you learn to analyze data that are saved, learning math and data skills that help you win! Short videos show you how to play each game and use data from your game play to develop winning strategies.
This spotlight was sponsored by the Amgen Foundation
Established in 1990, the Amgen Foundation plays a key role in Amgen’s commitment to improving the lives of others. As Amgen’s principal channel for corporate philanthropy, they work with expert partners to provide best-in-class science education programs free of cost to teachers and students. They are committed to improving science literacy and inspiring the next generation of innovators around the world.
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