Microsoft R is a data analytics solution that can be deployed on a wide range of platforms. This course introduces Microsoft R and its products, including installation, components, and compatibility with other network infrastructures.
Learning Objectives
Introduction to Microsoft R
- start the course
- describe the R programming language, environment, and open-source software
- recognize what Microsoft R is
- list Microsoft R products and their features
- describe important features of Microsoft R client
- install Microsoft R client
- list important integrated development environments for R
- identify important features of Microsoft R interface and recognize how to navigate in Microsoft R
- identify important features of RStudio interface and recognize how to navigate in Rstudio
- identify important features of Visual Studio for R interface and recognize how to navigate in Visual Studio for R
Practice: Features of Microsoft R
- list key features of Microsoft R
Microsoft Machine Learning (ML) Server
- identify important features of Microsoft Machine Learning Server
- identify important components of Microsoft Machine Learning Server
- describe what operationalize analytics is and its applications
- identify important features of Microsoft Machine Learning Server for operationalizing analytics
- list supported platforms for Microsoft Machine Learning Server
- identify important issues with provision of Microsoft Machine Learning Server in the cloud
- recognize what compute context is and its use cases
Practice: Microsoft R Server
- identify important components of Microsoft R server