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Curso gratuito

R for the Intimidated

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2 Horas30 Videos30 Exercicios
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Descrição do Curso

This course will introduce you to the very basics of R from running simple functions to manipulating datasets and creating graphs. This course is designed for people with very little or no programming experience at all.
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  1. 1

    Introduction to Course and RStudio

    Grátis

    This chapter contains videos that walks you through what a programming language is, and how to install RStudio on your computer.

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    Introduction to this course
    50 xp
    Introduction to programming
    50 xp
    Installing R and RStudio
    50 xp
    Walkthrough of RStudio
    50 xp
  2. 2

    Getting Started With Data Structures in R

    Grátis

    In this chapter, you'll be introduced to some basic functions and data structures.

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    Types of data and basic functions
    50 xp
    Naming objects
    50 xp
    Vectors - part 1
    50 xp
    Vectors - part 2
    50 xp
    Matrices - part 1
    50 xp
    Matrices - part 2
    50 xp
    Lists & combining vectors
    50 xp
    Subsetting dataframes
    50 xp
    More dataframes!
    50 xp
  3. 3

    Installing Packages, Importing and Cleaning Data

    Grátis

    In this chapter, you'll be introduced to some of the most popular packages in R, learn how to import your dataset, and some techniques to clean your dataset!

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    Packages
    50 xp
    Interlude: download!
    50 xp
    Importing data
    50 xp
    Missing values - scrub & replace
    50 xp
  4. 4

    Data Visualization Techniques

    Grátis

    In this chapter, you'll learn about the syntax to make data visualizations using some of R's most popular graphics packages.

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    Plotting matrices
    50 xp
    Scatterplots: R graphics
    50 xp
    ggplot2: Syntax
    50 xp
    ggplot2: Scatterplots
    50 xp
    ggplot2: Bar graphs
    50 xp
    ggplot2: Histograms
    50 xp
    ggplot2: Density plots
    50 xp
  5. 5

    Data Manipulation

    Grátis

    In this chapter, you'll learn how to manipulate your data in order to not only make better graphs, but also making your data graphable in the first place.

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    ddply: Part one
    50 xp
    ddply: Part two
    50 xp
    ddplr: Part three
    50 xp
    melt: Part one
    50 xp
    melt: Part two
    50 xp
  6. 6

    Final Project

    Grátis

    In this last chapter, you will combine everything you've learned in this course to work on a final project using the volcanoes dataset.

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    Final project
    50 xp
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