R Programming For beginners

R Programming For beginners, available at $19.99, has an average rating of 4.25, with 23 lectures, based on 6 reviews, and has 603 subscribers.

You will learn about Install R and RStudio Create R script Create new R Projects Install and load packages Clean data with R Pipe functions into datasets Visualize your data using base R graphics Analyse Data Create objects (variables) This course is ideal for individuals who are Beginners to R It is particularly useful for Beginners to R.

Enroll now: R Programming For beginners

Summary

Title: R Programming For beginners

Price: $19.99

Average Rating: 4.25

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Install R and RStudio

Create R script

Create new R Projects

Install and load packages

Clean data with R

Pipe functions into datasets

Visualize your data using base R graphics

Analyse Data

Create objects (variables)

Who Should Attend

Beginners to R

Target Audiences

Beginners to R

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. 

The R language is widely used among statisticians and data miners for developing statistical software and data analysis  .  R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

?    an effective data handling and storage facility,

?    a suite of operators for calculations on arrays, in particular matrices,

?    a large, coherent, integrated collection of intermediate tools for data analysis,

?    graphical facilities for data analysis and display either on-screen or on hardcopy, and

?    a well-developed, simple and effective programming language which includes conditionals,    loops, user-defined recursive functions and input and output facilities.

RStudio is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.

R is installed on your computer and uses your personal computer resources to process R programming language. RStudio integrates with R as an IDE (Integrated Development Environment) to provide further functionality. RStudio combines a source code editor, build automation tools and a debugger.

In this course  we will setup an R environment  and perform data analysis and visualisation.

Course Curriculum

Chapter 1: Setting Up R Environment

Lecture 1: Introduction

Lecture 2: What is R

Lecture 3: Installing R on Windows

Lecture 4: Installing R on Macs

Lecture 5: What is R Studio

Lecture 6: Installing R Studio on Windows

Lecture 7: Installing R Studio on Macs

Lecture 8: Exploring R Studio default interface

Lecture 9: Creating a new project in R Studio

Lecture 10: What are packages

Lecture 11: How to install packages

Lecture 12: Loading Packages

Lecture 13: Importing data into R Studio

Lecture 14: How to read data in a csv file with R

Lecture 15: Install Janitor Package

Chapter 2: Data Analysis & Visualization with R

Lecture 1: Cleaning columns

Lecture 2: Selecting a subset of data

Lecture 3: Performing multiple operations with pipe operator

Lecture 4: Creating new columns from existing columns

Lecture 5: Create a new R Project

Lecture 6: Load data into new project

Lecture 7: Perform Data Wrangling

Lecture 8: Create a bar graph

Instructors

247 Learning
An investment in knowledge pays the best interest

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 1 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!