Championing Cloud Computing Curricula Developing a course for Data Analytics
What is the 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 The session will also 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.Championing Cloud Computing Curricula Developing a course for Data Analytics
The role of the Data Analyst supports businesses to maximize their competitiveness through gaining insights into data assets. Data Analysts are responsible for designing and building scalable data models, cleaning, and transforming data, and enabling advanced analytic capabilities. The outcomes of which provide meaningful insights that can drive key business decisions and processes. As well as preparing and querying data, Data Analysts will also design and implement data-driven visualisations and dashboard that add business value and designed for a range of stakeholders.
