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Introduction to R for Data Science (Microsoft)

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Course Description

Labs for Introduction to R for Data Science.
  1. 1

    R: The true basics

    Free

    Interactive Exercises for R: The true basics.

    Play Chapter Now
    How it works
    100 xp
    Documenting your code
    100 xp
    Little arithmetics with R
    100 xp
    R's pros and cons
    50 xp
    Variable assignment
    100 xp
    Variable assignment (2)
    100 xp
    Variable assignment (3)
    100 xp
    The workspace
    100 xp
    Build and destroy your workspace
    200 xp
  2. 2

    Basic Data Types

    Free

    Interactive Exercises for Basic Data Types.

    Play Chapter Now
    Basic Data Types
    100 xp
    Back to Apples and Oranges
    100 xp
    What's that data type?
    50 xp
    Coercion: Taming your data
    100 xp
    Coercion for the sake of cleaning
    200 xp
  3. 3

    Create and name vectors

    Free

    Interactive exercises for Create and Name Vectors

    Play Chapter Now
    Create a vector (1)
    100 xp
    Create a vector (2)
    100 xp
    Naming a vector (1)
    100 xp
    Naming a vector (2)
    100 xp
    Different ways to create and name vectors
    100 xp
  4. 4

    Vector Arithmetic

    Free

    Interactive Exercises for Vector Arithmetic

    Play Chapter Now
    Summing and subtracting vectors
    100 xp
    Calculate your earnings
    100 xp
    Calculate total winnings: sum()
    100 xp
    Comparing total winnings
    100 xp
    First steps in rational gambling
    200 xp
  5. 5

    Subsetting Vectors

    Free

    Interactive Exercises on Subsetting Vectors

    Play Chapter Now
    Selection by index (1)
    100 xp
    Selection by index (2)
    100 xp
    Vector selection: the good times (3)
    100 xp
    Selection by name (1)
    100 xp
    Selection by name (2)
    100 xp
    Selection by logicals (1)
    100 xp
    Selection by logicals (2)
    100 xp
    Selection by logicals (3)
    100 xp
    Vectors: place your bets!
    200 xp
  6. 6

    Create and name matrices

    Free

    Interactive exercises for Create and Name Matrices

    Play Chapter Now
    Analyzing matrices, you shall
    100 xp
    Analyzing matrices, you shall (2)
    100 xp
    Naming a matrix
    100 xp
    Valid syntax or not?
    50 xp
    Calculating the worldwide box office
    100 xp
    Adding a column for the Worldwide box office
    100 xp
    Adding a row
    100 xp
    The total box office revenue for the entire saga
    100 xp
    Matrices: Move it up a notch
    200 xp
  7. 7

    Subsetting Matrices

    Free

    Interactive exercises for Subsetting Matrices

    Play Chapter Now
    Select elements
    100 xp
    Select rows and columns
    100 xp
    Create submatrices
    100 xp
    Alternative ways of subsetting
    100 xp
    Be selective
    50 xp
    Subsetting: The final challenge
    200 xp
  8. 8

    Matrix Arithmetic

    Free

    Interactive exercises for Matrix Arithmetic

    Play Chapter Now
    Arithmetic with matrices
    100 xp
    Arithmetic with matrices (2)
    100 xp
    May the matrix force be with you!
    200 xp
  9. 9

    Factors

    Free

    Interactive exercises for Factors

    Play Chapter Now
    Vector to factor
    100 xp
    Factor levels
    100 xp
    Summarizing a factor
    100 xp
    Nominal versus Ordinal, Unordered versus Ordered
    100 xp
    Left better than right?
    100 xp
    Ordered factors
    100 xp
    Ordered factors (2)
    100 xp
    Comparing ordered factors
    100 xp
    Flying high in factor space
    200 xp
  10. 10

    Create and Name Lists

    Free

    Interactive Exercises on Create and Name Lists.

    Play Chapter Now
    Create a list
    100 xp
    Listception: lists in lists
    100 xp
    Create a named list
    100 xp
    Create a named list (2)
    100 xp
    List your skills
    200 xp
  11. 11

    Subset and Extend Lists

    Free

    Interactive Exercises on Subset and Extend Lists.

    Play Chapter Now
    Selecting elements from a list
    100 xp
    Chaining your selections
    100 xp
    Vector Subsetting vs. List Subsetting
    50 xp
    Extending a list (1)
    100 xp
    Extending a list (2)
    100 xp
    List your skills (2)
    200 xp
  12. 12

    Explore the Data Frame

    Free

    Interactive Exercises on Explore the Data Frame

    Play Chapter Now
    Have a look at your data set
    100 xp
    Have a look at the structure
    100 xp
    Creating a data frame
    100 xp
    Creating a data frame (2)
    100 xp
    Rename the data frame columns
    100 xp
    Rule the world!
    200 xp
  13. 13

    Subset, extend and sort your data frame

    Free

    Interactive Exercises on Subset, extend and sort your data frame

    Play Chapter Now
    Selection of data frame elements
    100 xp
    Selection of data frame elements (2)
    100 xp
    Only planets with rings
    100 xp
    Only planets with rings (2)
    100 xp
    Only planets with rings but shorter
    100 xp
    Add variable/column
    100 xp
    Add observations
    100 xp
    Sorting
    100 xp
    Sorting your data frame
    100 xp
    Rule the world: part II
    200 xp
  14. 14

    Basic Graphics

    Free

    Interactive Exercises on Basic Graphics

    Play Chapter Now
    Plotting factors
    100 xp
    Plotting numerics
    100 xp
    Create a Histogram
    100 xp
    Other graphics functions
    100 xp
    How does your salary compare?
    200 xp
  15. 15

    Customizing Plots

    Free

    Interactive Exercises on Customizing your plots

    Play Chapter Now
    Title and axis labels
    100 xp
    Colors and shapes
    100 xp
    Customize Everything!
    100 xp
    Customizing Histograms
    100 xp
    Does work experience influence your salary?
    200 xp
  16. 16

    Multiple plots

    Free

    Interactive Exercises on Multiple plots

    Play Chapter Now
    Multiple plots with par()
    100 xp
    Complex layouts!
    100 xp
    Complex layouts with customized plots
    100 xp
    Plot a linear regression
    100 xp
    Customize your linear regression plot
    100 xp
    Multiple plots with different layers
    100 xp
Filip Schouwenaars HeadshotFilip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace, a collaborative data science notebook. Under the motto 'Eat your own dog food', he uses Workspace to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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