  Interactive Course

# Data Science R Basics

• 0 hours
• 0 Videos
• 73 Exercises
• 138,847 Participants
• 6,600 XP

### Loved by learners at thousands of top companies:      ### Course Description

Find the complete course on edx.org here.

1. 1

#### R Basics

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.

2. 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.

3. 5

#### Vector Arithmetics

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

4. 7

#### Basic Data Wrangling

We provide a brief introduction to the dplyr package.

5. 9

#### Programming Basics

Programming Basics

6. 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.

7. 4

#### Sorting

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

8. 6

#### Indexing

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

9. 8

#### Basic Plots

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

1. 1

#### R Basics

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.

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.

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.

4. 4

#### Sorting

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

5. 5

#### Vector Arithmetics

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

6. 6

#### Indexing

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

7. 7

#### Basic Data Wrangling

We provide a brief introduction to the dplyr package.

8. 8

#### Basic Plots

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

9. 9

#### Programming Basics

Programming Basics

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