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Data Science R Basics

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Course Description

Find the complete course on edx.org <a href='https://www.edx.org/course/data-science-r-basics-harvardx-ph125-1x'>here</a>.

  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.
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  2. 2

    Data Types

    We're going to get an overview, of the different types of variables that there are in R, and how to work with them.
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  3. 3

    Vectors

    The most basic unit to store data in R are vectors. We'll learn about creating and working with them in this chapter.
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  4. 4

    Sorting

    This chapter deals with getting more of an insight into the data we have, by helping us sort through it.
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  5. 5

    Vector Arithmetics

    We will learn about the more powerful vector arithmetic functions in R, that help us solve higher-level problems.
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  6. 6

    Indexing

    R provides a powerful and convenient way of indexing vectors. We're going to learn some ways of doing that!
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  7. 7

    Basic Data Wrangling

    We provide a brief introduction to the dplyr package.
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  8. 8

    Basic Plots

    We engage in the basics of plot-making in R, with scatterplots, histograms and box plots.
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  9. 9

    Programming Basics

    Programming Basics
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Weston Stearns

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