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R for Data Science: Data Exploration

R for Data Science: Data Exploration


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

R is a programming language that is an essential skill for data science and big data used for statistical computing and graphics. In this Skillsoft Aspire course, you will explore data in R using the dplyr library including working with tabular data, piping data, mutating data, summarizing data, combining datasets, and grouping data.



Expected Duration (hours)
0.7

Lesson Objectives

R for Data Science: Data Exploration

  • Course Overview
  • use the dplyr library to load data frames
  • select subsets of data using dplyr
  • filter tabular data using dplyr
  • perform multiple operations using the pipe operator
  • create new columns using the mutate method
  • summarize data using summary functions
  • use the dplyr join functions to combine data
  • use the group_by method from the dplyr library
  • query data using various dplyr library functions
  • Course Number:
    it_dsrfdsdj_03_enus

    Expertise Level
    Intermediate