Azure Cloud Fundamentals for Data Science with Python

使用Microsoft Azure改进和简化数据科学过程。提高您对云计算概念和工具的理解可以帮助提供关键数据分析。

了解云计算的数据科学应用

Finding and adopting the right tools within your organisation is key to robust and efficient data science projects. Guided by industry experts, you’ll grow your understanding of the different business models for cloud and AI usage of cloud computing.

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).

You’ll then apply those cloud computing concepts by looking at data science solutions that you can find in Microsoft Azure and Amazon Cloud Services - two market leaders.

掌握Microsoft Azure中的数据科学选项

Microsoft Azure is home to a suite of products that support data analytics, development, and database creation. You’ll explore the opportunities within the platform, such as Azure Stream Analytics, Azure Synapse Analytics, and Azure Data Explorer.

Discover the possibilities within Amazon Web Services (AWS)

A strong understanding of how AWS works will help you to prepare the infrastructure you need for your projects, reduce spend within your department, and spend less time on maintenance. This course will review AWS and how you can use it to best effect for your data projects.