Getting Started with Rstudio

4.6
estrellas
31 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Install R and RStudio on your desktop, or use the new cloud-based solution that allows anyone to learn R, directly from your browser.

Know the 10 most important things that 99% of R programmers should know about the RStudio IDE Interface.

Be able to explain what R packages are, how to install and load them, from CRAN and Github, into the R session, and create interactive HTML widgets.

ClockThe estimated workload is 1 hour.
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1-hour long project-based course, you will learn everything you need to know to get started with RStudio IDE, including how to install RStudio onto your Windows, MAC or Linux machine, how to use RStudio Cloud, a lightweight, cloud-based version of RStudio, how to start creating R projects, install and load R packages, as well as display interactive maps, graphs and tables with 1 line of code. This course is perfect if you want to start learning R programming with RStudio: the Premiere IDE for R Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • R Programming
  • Rstudio

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Install R and Get started with RStudio on your desktop, whether you have Windows, MAC or Linux.

  2. Sign up for free and get started using RStudio with the new cloud-based solution of RStudio that allows anyone to do, share, teach and learn R, directly from your browser

  3. Go over RStudio layout, features, window panes and other configuration options available within RStudio IDE

  4. Learn more about R packages, what they are, how to install and load them, from CRAN and Github, into the R session.

  5. Enter commands to create and display interactive graphs, maps and tables with 1 line of code

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Reseñas

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