Introduction to R

4 Lessons

80 Exercises

This course is designed for those who have little to no prior programming experience in R or any other programming language. Its aim is to build up from the basics and teach you the capabilities of R. By the end of this course you will have acquired a valuable new skill for exploring datasets and creating impressive visualizations.

Loved it! The interactive parts with the quizzes and exercises make it easy to get to know R in an entertaining and memorable way!

Fabian Holzner, User

Lesson

Basics

Start your R journey and learn the most fundamental building blocks of the environmenent. Learn how to use and assign vectors with operators and functions. Use packages to access functions and data from external sources.

R is everywhere

Combine values into a vector

Create variables through assignments

Use basic operators

Call existing R code through functions

Use existing functions and data through packages

Lesson

Data Frames and Tibbles

Create tabular data structures with data frames and see how they compare to tibbles. Extract column vectors from data frames for computations. Get metadata information like dimensions. Select top- and bottom rows for a quick overview.

Build a data frame from vectors

Create and convert tibbles

Extract or replace columns in a data frame using $

Determine the size of a data frame

Select first or last rows of a data frame

Lesson

Data Transformation with dplyr

Use basic dplyr verbs to filter rows, select columns and sort/arrange datasets in combination with the pipe %>% operator.

Introduction to dplyr

Select columns from a data frame

Filter data frame rows

Sort data frames by columns

Create a data transformation pipeline

Lesson

Data Visualization with ggplot2

Understand plotting types and the core principles of the grammar of graphics. Create your first visualizations with the ggplot2 package including scatter plots, line graphs and bar charts.

Why data visualization is important

Create a scatter plot with ggplot

Specify additional aesthetics for points

Create a line graph with ggplot

Create your first bar chart

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A great course set-up to get a first insight into the workings of R and to wet your appetite for more – the possibilities seem endless. A very enjoyable experience, thank you!

Liza Glesener, SICONA

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FAQ

About The Course

Do I get a certificate after course completion?

Yes, after finishing the course with all Quizzes and Exercises we will send you a certificate as PDF to your account.

Do you only have courses for the R programming language? What about Python and Julia?

Do you have more courses planned and what’s on your roadmap?

Is there any prior knowledge required for this course?

What are the technical prerequisites to take an online course?

Still have questions?

Basics

R is everywhere

Combine values into a vector

Create variables through assignments

Use basic operators

Call existing R code through functions

Use existing functions and data through packages

Data Frames and Tibbles

Build a data frame from vectors

Create and convert tibbles

Extract or replace columns in a data frame using $

Determine the size of a data frame

Select first or last rows of a data frame

Data Transformation with dplyr

Introduction to dplyr

Select columns from a data frame

Filter data frame rows

Sort data frames by columns

Create a data transformation pipeline

Data Visualization with ggplot2

Why data visualization is important

Create a scatter plot with ggplot

Specify additional aesthetics for points

Create a line graph with ggplot

Create your first bar chart

Become a Data Science PRO

Companies & Partners

About The Course

Introduction to R

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