Foundations of Cloud Analytics

Overview

Develop practical skills in cloud computing with Microsoft Azure and data analytics with SAS Viya for entry-level careers in data, analytics, and cloud. Designed for students and career switchers, this Specialization helps you understand how cloud services and analytics platforms work together to support the data and AI life cycle to make smarter business decisions.

You’ll start with Microsoft Azure fundamentals, including core cloud concepts, Azure services, architecture components, storage, virtual networking, virtual machines, scalability, and hands-on practice in the Microsoft Azure portal and sandbox environment. You’ll then build analytics skills with SAS Viya, exploring platform architecture, data management, visualization, model development, and coding in SAS or Python within an integrated analytics environment.

This program is a strong fit for learners interested in roles such as junior data analyst, analytics associate, cloud support, or cloud operations–adjacent positions. You’ll gain exposure to tools and technologies including Microsoft Azure, virtual networking, cloud storage, virtual machines, SAS Viya, SAS Studio, SAS Visual Analytics, and SAS Model Studio.

To be successful, learners should have basic computer literacy and familiarity with general technology concepts such as networking, storage, compute, and application support. No advanced coding is required to begin.

Syllabus

• Course 1: Overview of Cloud Analytics with SAS and Microsoft
• Course 2: Essentials with Azure Fundamentals
• Course 3: Analytics Applications Across the Data & AI Lifecycle
• Course 4: Cloud Based Analytics and AI Programming

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Taught by

Microsoft and Stacey Syphus

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Subjects

Programming