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RStudio Setup and Customization for R or Python Programming
Rating: 4.7 out of 5(65 ratings)
2,150 students
Last updated 5/2024
English

What you'll 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

Course content

9 sections19 lectures1h 10m total length
  • Install R and RStudio2:15

    Step-by-step guide on how to install R and RStudio on a Windows machine.
    Details for masOS and Linux are provided.

Requirements

  • No programming or RStudio experience needed.

Description

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.

Who this course is for:

  • 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