Data Exploration using R

RStudio 1.1.4    |    Intermediate
  • 10 videos | 40m
  • Includes Assessment
  • Earns a Badge
Likes 58 Likes 58
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • 1m 32s
  • 5m 18s
    During this video, you will learn how to load data frames using the dplyr library. FREE ACCESS
  • Locked
    3.  Selecting Subsets
    4m 26s
    During this video, you will learn how to select subsets of data using the dplyr package. FREE ACCESS
  • Locked
    4.  Filtering Tabular Data
    4m 1s
    In this video, you will filter tabular data using dplyr. FREE ACCESS
  • Locked
    5.  Piping Data
    4m 11s
    In this video, find out how to perform multiple operations using the pipe operator. FREE ACCESS
  • Locked
    6.  Mutating Data
    3m 55s
    In this video, find out how to create new columns using the mutate function. FREE ACCESS
  • Locked
    7.  Summarizing Data
    3m 49s
    In this video, you will learn how to summarize data using summary functions. FREE ACCESS
  • Locked
    8.  Combining Datasets
    4m 57s
    In this video, you will use the dplyr join functions to combine data. FREE ACCESS
  • Locked
    9.  Grouping Data
    3m 24s
    In this video, you will use the group_by method from the dplyr package. FREE ACCESS
  • Locked
    10.  Exercise: Querying Data
    4m 28s
    In this video, you will query data using various dplyr functions. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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