Course details

R for Data Science: Data Exploration

R for Data Science: Data Exploration


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

The tool of choice for data science professionals in every modern industry and field, the programming language R has become an essential skill for statistical computing and graphics. It both creates reproducible high-quality analyses and takes advantage of superior graphic and charting capabilities. In this 10-video Skillsoft Aspire course, you will explore data in R by using the dplyr library, including working with tabular data, piping data, mutating data, summarizing data, combining datasets, and grouping data. Key concepts covered in this course include using the dplyr library to load data frames; selecting subsets of data by using dplyr; and how to filter tabular data using dplyr. You will also learn to perform multiple operations by using the pipe operator; how to create new columns with the mutate method; and how to summarize data using summary functions. Next, use the dplyr join functions to combine data. Then learn how to use the group by method from the dplyr library, and how to query data with various dplyr library functions.



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