R Programming For Absolute Beginners

4.4 (2013)
MOOC
Payment
Learning paid
Language
English
Duration
9.5 hours course
Course by Udemy
What will you learn?
Work with vectors, matrices and lists
Work with factors
Manage data frames
Write complex programming structures (loops and conditional statements)
Build their own functions and binary operations
Work with strings
Create charts in base R
About the course

If you have decided to learn R as your data science programming language, you have made an excellent decision!
 

R is the most widely used tool for statistical programming. It is powerful, versatile and easy to use. It is the first choice for thousands of data analysts working in both companies and academia. This course will help you master the basics of R in a short time, as a first step to become a skilled R data scientist.
 

The course is meant for absolute beginners, so you don’t have to know anything about R before starting. (You don’t even have to have the R program on your computer; I will show you how to install it.) But after graduating this course you will have the most important R programming skills – and you will be able to further develop these skills, by practicing, starting from what you will have learned in the course.   

This course contains about 100 video lectures in nine sections.
 

In the first section of this course you will get started with R: you will install the program (in case you didn’t do it already), you will familiarize with the working interface in R Studio and you will learn some basic technical stuff like installing and activating packages or setting the working directory. Moreover, you will learn how to perform simple operations in R and how to work with variables.
 

The next five sections will be dedicated to the five types of data structures in R: vectors, matrices, lists, factors and data frames. So you’ll learn how to manipulate data structures: how to index them, how to edit data, how to filter data according to various criteria, how to create and modify objects (or variables), how to apply functions to data and much more. These are very important topics, because R is a software for statistical computing and most of the R programming is about manipulating data. So before getting to more advanced statistical analyses in R you must know the basic techniques of data handling.
 

After finishing with the data structures we’ll get to the programming structures in R. In this section you’ll learn about loops, conditional statements and functions. You’ll learn how to combine loops and conditional statements to perform complex tasks, and how to create custom functions that you can save and reuse later. We will also study some practical examples of functions.
 

The next section is about working with strings. Here we will cover the most useful functions that allow us to manipulate strings. So you will learn how to format strings for printing, how to concatenate strings, how to extract substrings from a given string and especially how to create regular expressions that identify patterns in strings.
 

In the following section you’ll learn how to build charts in R. We are going to cover seven types of charts: dot chart (scatterplot), line chart, bar chart, pie chart, histogram, density line and boxplot. Moreover, you will learn how to plot a function of one variable and how to export the charts you create. 
 

Every command and function is visually explained: you can see the output live. At the end of each section you will find a PDF file with practical exercises that allow you to apply and strengthen your knowledge.
 

 So if you want to learn R from scratch, you need this course. Enroll right now and begin a fantastic R programming journey!

Program
Introduction
What we are going to cover in this course.
Introduction
What we are going to cover in this course.
Getting Started with R
Here you'll learn how to install R and how to perform the most basic tasks in this program.
Installing R and RStudio
How to download and install R and RStudio.
The RStudio Interface
The RStudio work interface, explained in detail.
Installing and Activating R Packages
How to work with packages in R - you will need that.
Setting the Working Directory
How to setup the working directory in R, so you can access the files in that directory.
Basic Operations in R
How to perform the basic mathematical operations in R.
Working With Variables
The basic stuff about variables in R.
Vectors
How to work with atomic vectors in R.
Creating Vectors With the c() Function
How to use the c() function - one of the most common ways to create vectors.
Creating Vectors Using the Colon Operator
Build sequences of integers with the colon operator.
Requirements
  • No special prerequisite - you should only know how to use a computer
Lecturers
Bogdan Anastasiei
Bogdan Anastasiei
University Teacher and Consultant
Platform
/storage/img/providers/udemy.svg
Udemy courses are suited to professional development. The platform is organized in such a way that it is experts themselves that decide the topic and when the course will start. All supporting documents are made available to you for lifetime access. On this platform, you can find a course on about any subject, and that is no exaggeration – from a tutorial on how to ride a motorcycle, to managing the financial markets. The language and the course format are established by the teacher. This is why it is important to read the information about the course carefully before parting with any money.
Rating
4.4
(998)
(775)
(204)
(40)
(19)
Comments (2013)
Like any other website, konevy uses «cookies». These cookies are used to store information including visitor's preferences, and the pages on the website that the visitor accessed or visited. The information is used to optimize the users' experience by customizing our web page content based on visitors' browser type and/or other information. For more general information on cookies, please read the «What Are Cookies» article on Cookie Consent website.