Packages and Data Types

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
This course covers features and components of Microsoft R Server, including its installation and configuration with various databases and IT systems. It also introduces the R language, including data structures and types.

Target Audience
All individuals who wish to understand key concepts in big data analysis and Microsoft R features including scientists, analysts, and statisticians

Prerequisites
None

Expected Duration (hours)
1.1

Lesson Objectives

Packages and Data Types

start the course

recognize important R packages and their functions

list important packages available through Microsoft R

recognize what the RevoScaleR package is

identify important functions available in the RevoScaleR package for data analysis

list important functions available in the RevoScaleR package

identify similar RevoScaleR Functions and Base R functions

describe the MicrosoftML package and its important functions

recognize use cases of the mrsdeploy package and its important functions

describe the olapR package and its important functions

identify important functions available through the sqlrutils package and their use cases

list key features of the RevoScaleR package

describe the R language and its key features

recognize what R objects and attributes are

describe concepts of R vectors, lists, and factors

identify important features of R matrices and arrays

recognize the concept of data frames and lists in R

list differences between data frames and matrices

Course Number:
df_abdr_a02_it_enus

Expertise Level
Expert