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Alter.Nation

Community news, customer stories, and more!
SusanCS
Alteryx Community Team
Alteryx Community Team

How old were you when you started learning how to work with data?

 

We might be biased, but we think it’s never too early to start developing data skills!

 

This week’s episode of the Alter Everything podcast showcases the prodigious talents of young data explorers Felipe Rodriguez and Ryan Wu, who took on the challenge of Core Certification with Alteryx Designer at the ages of 12 and 16 respectively.

 

If they’ve inspired you to introduce the young learners in your life to data, check out our Alteryx for K-12 program. This program gives young people the chance to learn about data, gain problem-solving skills and think critically about data. Those abilities open academic and career opportunities — and they’re essential for data literacy in today’s data-driven world. Check out the full details and sign up.

 

If you’re not sure where to find the best learning tools, we’ve got a new downloadable guide for you! The list below showcases educational resources here on the Alteryx Community and elsewhere for your own data prodigies to explore.

 

Download the PDF, also linked from the image below and at the bottom of this post, to explore the links to the resources. 

 

 

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And be sure to check out this week's Alter Everything episode to get inspired by these youthful role models’ data success stories!

 

 

 
 
Susan Currie Sivek
Data Science Journalist

Susan Currie Sivek, Ph.D., is the data science journalist for the Alteryx Community. She explores data science concepts with a global audience through blog posts and the Data Science Mixer podcast. Her background in academia and social science informs her approach to investigating data and communicating complex ideas — with a dash of creativity from her training in journalism. Susan also loves getting outdoors with her dog and relaxing with some good science fiction.

Susan Currie Sivek, Ph.D., is the data science journalist for the Alteryx Community. She explores data science concepts with a global audience through blog posts and the Data Science Mixer podcast. Her background in academia and social science informs her approach to investigating data and communicating complex ideas — with a dash of creativity from her training in journalism. Susan also loves getting outdoors with her dog and relaxing with some good science fiction.