RStudio Setup and Customization for R or Python Programming

RStudio Setup and Customization for R or Python Programming, available at Free, has an average rating of 4.75, with 19 lectures, based on 38 reviews, and has 1597 subscribers.

You will learn about Install R and RStudio Configure the global options Customize themes, fonts, colors, sizes Understand the purpose of panes: Console, Environment, Terminal, Packages, Files, Plots, Viewer, Help Set-up projects, create scripts, navigate through files and folders Tweak your RStudio IDE Connect to git and clone a repository This course is ideal for individuals who are Beginners who intend to learn R & RStudio but don't know where to begin or Programmers who just installed RStudio and are lost in the interface or RStudio users who want to unlock the full potential of the IDE It is particularly useful for Beginners who intend to learn R & RStudio but don't know where to begin or Programmers who just installed RStudio and are lost in the interface or RStudio users who want to unlock the full potential of the IDE.

Enroll now: RStudio Setup and Customization for R or Python Programming

Summary

Title: RStudio Setup and Customization for R or Python Programming

Price: Free

Average Rating: 4.75

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Install R and RStudio
Configure the global options
Customize themes, fonts, colors, sizes
Understand the purpose of panes: Console, Environment, Terminal, Packages, Files, Plots, Viewer, Help
Set-up projects, create scripts, navigate through files and folders
Tweak your RStudio IDE
Connect to git and clone a repository

Who Should Attend

Beginners who intend to learn R & RStudio but don't know where to begin
Programmers who just installed RStudio and are lost in the interface
RStudio users who want to unlock the full potential of the IDE

Target Audiences

Beginners who intend to learn R & RStudio but don't know where to begin
Programmers who just installed RStudio and are lost in the interface
RStudio users who want to unlock the full potential of the IDE

As of of 2024, R is rocking it with these cool numbers:

RStudio has an active user base of 3.5 million.
Posit cloud has a 65,000 userbase.
Over the year, an impressive 2 billion packages were downloaded.

New 2024 — Using Python with RStudio has never been easier! New lectures added!

RStudio (Posit) is the best IDE there is for R Programmers and Data Professionals.
It was initially created for R users and currently supports Python, SQL, C++, D3, and other programming languages.

It also facilitates the creation of R packages, Shiny Applications, Markdown documents, Quarto Documents, books, blogs, websites, Quarto Presentations (new!), APIs.

RStudio is what made R great and now millions of data scientists use R on daily basis.

I have taught R & RStudio to over 1,000 people and always emphasized the importance of understanding all the features of the RStudio API.

Having a friendly and ergonomic interface is very important.

Understanding the complete functionalities of Rstudio will give you an edge as some of them will save you hours, and others will improve your overall user experience.

This course will explain to you how to

download and install R and set up your RStudio IDE
configure the global options
understand the panes (console, scripts, environment, files, plots, packages, viewer, help)
launch projects and navigate through projects
understand the working directory, file, and folder structure
create your first R script in RStudio
connect to git and use the git pane
clone repository from GitHub
customize your code and add tweaks
install Python and run py scripts (live!)

Once you complete this course you will set up your R and RStudio correctly and once and for all.

Course Curriculum

Chapter 1: Download and Install R & RStudio

Lecture 1: Install R and RStudio

Chapter 2: Python and RStudio – New 2024

Lecture 1: Install Python

Lecture 2: Install and Setup RStudio & Python

Chapter 3: Global Options and Interface

Lecture 1: Global Options of RStudio

Lecture 2: Interface: Themes, Fonts, Visuals

Chapter 4: RStudio Projects

Lecture 1: Create a new Project in RStudio

Lecture 2: Understanding Working Directory

Chapter 5: Panes

Lecture 1: Overview of RStudio IDE

Lecture 2: Console Pane

Lecture 3: Files Pane

Lecture 4: Script Pane

Lecture 5: Environment Pane

Lecture 6: Packages Pane

Lecture 7: Help Pane

Lecture 8: Plots and Viewer Pane

Chapter 6: Other Panes in RStudio

Lecture 1: Other Panes in RStudio

Chapter 7: Git Pane in RStudio

Lecture 1: Install Git and Clone a Repo to RStudio

Chapter 8: Additional Features of RStudio

Lecture 1: Additional Features

Chapter 9: More Learning

Lecture 1: Bonus Article – Learn More with Arkadi

Instructors

Arkadi Avanesyan
Consultant and Codementor

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 8 votes
5 stars: 23 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!

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