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What is Data Science Literacy?

What is Data Science Literacy?

What is data science literacy and why is it so important?

Simply put, data science literacy is understanding what data means. This includes the ability to read graphs and charts, work with the data, analyze it, and draw conclusions from data.

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February is Data Science Month

February is Data Science Month

This February, we'll be taking a deep dive into what it means to be a data scientist and telling stories about the current and future role of data science within OIT and CMS. Applying data science into our work and building a data-driven workforce will help us work more effectively and make smarter, evidence-based decisions to benefit the people we serve. Keep reading to learn more about what we'll be covering this month.

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DEI: Best Practices in Government

DEI: Best Practices in Government

The federal government has long been a leader in promoting diversity, equity, and inclusion (DEI) in the workplace. Here are some initiatives making a big impact on the federal workforce across the nation.

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All Access: Making Authentication Work for Everyone

All Access: Making Authentication Work for Everyone

Think decoding CAPTCHA imagery to prove you're not a bot is hard? Imagine if you had a vision impairment. Learn more about how Division of Investment Oversight and Governance Director Antoinette Johnson, Deputy Director Ann Turner, and IT Management Specialist Aaron Allen work to build accessibility into CMS internet security protocols.

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Empathy and Expertise:  How TEA Solves Problems by Putting People First

Empathy and Expertise: How TEA Solves Problems by Putting People First

OIT's Division of Technical Engineering and Architecture (TEA) helps CMS teams build digital products and elevate their skills. They offer consultation in several areas, including product management, software engineering, human-centered design, and data science. In proving technologies or processes that can assist folks across CMS, With a people-first approach, TEA consultants focus on leaving teams in a position to more confidently - and successfully - achieve their future goals.

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