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Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

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Championing Cloud Computing Curricula; Developing a course for Data Analytics

3 12월, 2021 | 9:30 오전 - 10:30 오전 (UTC) 협정 세계시

  • 서식:
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항목: 데이터 과학 및 Machine Learning

언어: 영어

What is this session about?
This session will provide educators with robust guidance on how to implement Data Analytics cloud certification in their academic courses in respect to data analytics. The session has been designed to help address the cloud skills gap in industry and improve graduate employability outcomes. We will present guidance on best practices for designing academic courses that embed industry-informed learning outcomes, aligned syllabi, and certifications. We’ll also explore the application of high-quality learning materials available within Microsoft Learn for integrating into academic courses.
Attend this session and learn how educator across the work are delivering Data Analytics and the Microsoft DA-100 certification in practice

https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

Who is it aimed at?
The session is aimed at Worldwide Educators from K12 to Higher Education who wish to blend Microsoft Professional Data Analytics certifications into their course programmes.

Educators and developers/IT Professional who are looking at understanding how academic institutions develop and construct new courses which offer both academic and professional certification.
Students and learners who wish to understand what data analytics teaching practices and modules include.

Why should people attend?
The presenters have extensive experience of teaching and cloud computing courses from academic and cloud vendor viewpoints and will provide real-world examples of implementing certifications in courses at further/higher education institutions. Participants will hear from speakers on their experiences of blending certification learning materials which map to their academic course outcomes.

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