Lee Stott
Microsoft
学习、联系、构建
准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!
学习、联系、构建
准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!
3 十二月, 2021 | 9:30 上午 - 10:30 上午 (UTC) 协调世界时
主题: 数据科学和机器学习
语言: 英语
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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形式:
直播
主题: 数据科学和机器学习
语言: 英语
形式:
直播
主题: 数据科学和机器学习
语言: 英语