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Data Science R Basics

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16 reviews
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Course Description

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  1. 1

    R Basics

    Free

    In this course we introduce you to the basics of computing and analyzing data in the user-friendly and helpful R interface. This first chapter starts with the very basics of functions, objects to get us acquainted with the world of R.

    Play Chapter Now
    Using variables 1
    100 xp
    Using variables 2
    100 xp
    Functions
    50 xp
    Nested function calls 1
    100 xp
    Nested functions call 2
    50 xp
    End of Assessment 1
    50 xp
  2. 2

    Data Types

    Free

    We're going to get an overview, of the different types of variables that there are in R, and how to work with them.

    Play Chapter Now
    str
    50 xp
    Variable names
    100 xp
    Examining Variables
    100 xp
    Multiple ways to access variables
    100 xp
    Factors
    100 xp
    Tables
    100 xp
    End of Assessment 2
    50 xp
  3. 3

    Vectors

    Free

    The most basic unit to store data in R are vectors. We'll learn about creating and working with them in this chapter.

    Play Chapter Now
    Numeric Vectors
    100 xp
    Character vectors
    100 xp
    Connecting Numeric and Character Vectors
    100 xp
    Subsetting vectors
    100 xp
    Subsetting vectors continued...
    100 xp
    Sequences
    100 xp
    Sequences continued...
    100 xp
    Sequences and length
    100 xp
    Sequences of certain length
    100 xp
    Integers
    100 xp
    Integers and Numerics
    100 xp
    Coercion
    100 xp
    End of Assessment 3
    50 xp
  4. 4

    Sorting

    Free

    This chapter deals with getting more of an insight into the data we have, by helping us sort through it.

    Play Chapter Now
    sort
    100 xp
    order
    100 xp
    New Codes
    100 xp
    Using the output of order
    100 xp
    Ranks
    100 xp
    Data Frames, Ranks and Orders
    100 xp
    NA
    100 xp
    Removing NAs
    100 xp
    End of Assessment 4
    50 xp
  5. 5

    Vector Arithmetics

    Free

    We will learn about the more powerful vector arithmetic functions in R, that help us solve higher-level problems.

    Play Chapter Now
    Vectorized operations
    100 xp
    Vectorized operations continued...
    100 xp
    Vectorized operation continued...
    100 xp
    End of Assessment 5
    50 xp
  6. 6

    Indexing

    Free

    R provides a powerful and convenient way of indexing vectors. We're going to learn some ways of doing that!

    Play Chapter Now
    Logical Vectors
    100 xp
    which
    100 xp
    Ordering vectors
    100 xp
    Filtering
    100 xp
    Filtering continued
    100 xp
    Match
    100 xp
    %in%
    100 xp
    Logical operator
    100 xp
    End of Assessment 6
    50 xp
  7. 7

    Basic Data Wrangling

    Free

    We provide a brief introduction to the dplyr package.

    Play Chapter Now
    dplyr
    100 xp
    mutate
    100 xp
    select
    100 xp
    filter
    100 xp
    filter with !=
    100 xp
    filter with %in%
    100 xp
    filtering by two conditions
    100 xp
    Using the pipe %>%
    100 xp
    mutate, filter and select
    100 xp
    End of Assessment 7
    50 xp
  8. 8

    Basic Plots

    Free

    We engage in the basics of plot-making in R, with scatterplots, histograms and box plots.

    Play Chapter Now
    Scatterplots
    100 xp
    Histograms
    100 xp
    Boxplots
    100 xp
    End of Assessment 8
    50 xp
  9. 9

    Programming Basics

    Free

    Programming Basics

    Play Chapter Now
    Conditionals
    50 xp
    Conditional continued
    50 xp
    ifelse
    100 xp
    Defining functions
    100 xp
    Defining functions continued...
    100 xp
    Lexical scope
    100 xp
    For loops
    100 xp
    For loops continued...
    100 xp
    Checking our math
    100 xp
    Checking our math continued
    100 xp
    End of Assessment 9
    50 xp
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Don’t just take our word for it

*4.8
from 16 reviews
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  • Zeki B.
    9 months

    excellent

  • S. I.
    9 months

    I am pleased to inform you that excellent guidance from the organization guided me a lot. I did not know the R earlier when I learned R from the Datacamp. Thanks a lot.

  • Refik Y.
    about 1 year

    I enjoyed the course and learned a lot. Need more practice :)

  • Francis M.
    about 1 year

    R is the quintessential language for statistical analysis, and with its growing functionality and updates, along with the Data Science boom, it’s become a top language for data scientists

  • Langat E.
    about 1 year

    great

"excellent"

Zeki B.

"I am pleased to inform you that excellent guidance from the organization guided me a lot. I did not know the R earlier when I learned R from the Datacamp. Thanks a lot."

S. I.

"I enjoyed the course and learned a lot. Need more practice :)"

Refik Y.

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