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R Crash Course – a short and concise introduction to R and RStudio, R-programming for the Beginners

What you will learn

 

This is a R crash course for anyone who previously had no or very little contact with script-based programming in R

 

The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming

 

Learn how to install R and RStudio on your computer

 

The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!

 

You will learn Package Management in R & RStudio

 

How to calculate in R & RStudio

 

All data types in R-language

 

Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio

 

Learn about functions, control structures and for loops in R & RStudio

 

All the R-scripts used in this course will be also provided to you

Description

‘R Crash Course – a short and concise introduction to R and R Studio, R-programming for the Beginners’

This is an R crash course for anyone who previously had no or very little contact with script-based programming in R.

The main goal is to establish the basic understanding needed for more advanced courses that use the R language, RStudio, and R-programming for example, for data science, machine learning, or statistical analysis in R. This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learning R-programming language for my upcoming data science courses in R.

The best about this course that is in a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R!

What will you learn in this course:

§ Package Management

§ Calculate with R

§ Variables


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§ Vectors

§ Matrices

§ Lists

§ Data frames

§ Missing values

§ Functions

§ Control Structures

§ For loops

All the R-scripts used in this course will be also provided to you.

 

The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.

This course is NOT for you if you an intermediate or advanced user of R and don’t need an introduction to R programming!

Let’s get started!

 

English
language

Content

Introduction
Introduction
Getting started – Installing R and RStudio
What is R and RStudio?
How to install R and RStudio in 2020
Lab: Install R and RStudio in 2020
Lab: Get started with R in RStudio
R Package Management & Calculations in R
Lab: Installing Packages and Package Management in R
Lab: Calculations in R
Variables in R and assigning Variables in R
Lab: Variables in R and assigning Variables in R
Overview of data types & structures
Overview of data types and data structures in R
Lab: Overview of data types and data structures in R
Data types and data structures: Vectors in R
Vectors’ operations in R
Lab: Vectors’ operations in R
Data types and data structures: Factors
Matrices, Lists and Dataframes
Data types and data structures: Matrices
Data types and data structures: Lists
An introduction to Dataframes
Indexing and querying Dataframes
Modifying Dataframes
Handling missing values in R
Functions, Control Structures, and For Loops in R
Overview of functions in R
Control Functions (if, if else, else, while, switch, repeat, break, return) in R
For Loops in R