Azure Cloud Fundamentals for Data Science with Python

Microsoft Azure can help you improve and streamline data science processes. Cloud computing concepts and tools can be used to deliver business-critical data analysis. It is possible to increase your knowledge. It is crucial to find and use the right tools in your organization for data science projects that are robust and efficient. You'll be guided by experts to increase your knowledge of the various business models for cloud computing and AI usage. You'll learn about general cloud computing concepts, general cloud computing models and services such as public, private and hybrid cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). These cloud computing concepts will be applied by you looking at data science solutions in Amazon Cloud Services and Microsoft Azure - the market leaders.

Microsoft Azure houses a range of products that can support data analysis, development, and creation. The platform offers many opportunities, including Azure Stream Analytics and Azure Synapse Analytics. A solid understanding of AWS will allow you to plan the infrastructure that you require for your projects, cut down on costs within your department, and save time on maintenance. This course will cover AWS and how to use it for data projects.