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## Course Description

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### Training 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more- 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.

- 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.

- 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.

Numeric Vectors100 xpCharacter vectors100 xpConnecting Numeric and Character Vectors100 xpSubsetting vectors100 xpSubsetting vectors continued...100 xpSequences100 xpSequences continued...100 xpSequences and length100 xpSequences of certain length100 xpIntegers100 xpIntegers and Numerics100 xpCoercion100 xpEnd of Assessment 350 xp - 4
### Sorting

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

- 5
### Vector Arithmetics

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

- 6
### Indexing

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

- 7
### Basic Data Wrangling

**Free**We provide a brief introduction to the dplyr package.

- 8
### Basic Plots

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

- 9
### Programming Basics

**Free**Programming Basics

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