• Online, Self-Paced
Course Description

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

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.