Microsoft Future Ready: Introduction to Azure Cloud for Data Scientists

This course is part Data Science on Microsoft Azure using R Programming SpecialistTrack. It teaches you the basics of data science research.

Microsoft Azure can help you improve your data science processes. This powerful tool, along with knowledge about cloud computing concepts will allow you to streamline the delivery of critical business data analysis.

Cloudswyft's industry experts will help you to understand the various business models that cloud computing can be used for and the AI use of cloud computing. You can make your data science project more robust and effective by understanding the tools that are available to you.

This course will help you to understand cloud computing concepts and models. You'll also learn about services such as public, private, and hybrid cloud as well as Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), and Infrastructure-as-a-Service (IaaS).

You'll use the best tools available, such as Amazon Web Services (AWS) and Microsoft Azure (Azure Web Services), to apply cloud computing concepts through data science.

We'll show you the various products that Microsoft Azure offers, including Azure Stream Analytics and Azure Data Explorer.

These will be used to support data analytics and development as well as database creation.

You can learn how to prepare the infrastructure that you need for your projects. Reduce your maintenance time and reduce costs in your department with your knowledge of AWS.

This course will cover the AWS features and show you how to use them to your data projects. Microsoft co-created this course and it is officially accredited.