Lee Stott
Microsoft
學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
3 12月, 2021 | 9:30 上午 - 10:30 上午 (UTC) 國際標準時間
主題: 資料科學與機器學習
語言: 英文
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.
演講者
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格式:
線上直播
主題: 資料科學與機器學習
語言: 英文
格式:
線上直播
主題: 資料科學與機器學習
語言: 英文