Mastering R: An Intensive Crash Course for Data Enthusiasts!

RLadies Rome Team

R Courses
In this video we’ll introduce R and guide you through the steps for analyzing data from the #TidyTuesday project.

July 27, 2023

Registered Attendees (102)

July 27, 2023 speaker is Federica Gazzelloni on behalf of R-Ladies Rome

Join us for an exhilarating journey through the world of data analysis with our Mastering R: An Intensive Crash Course for Data Enthusiasts!. This intensive and engaging video is the first of a series of tailored courses for data enthusiasts looking to harness the power of R programming for their data analysis and visualization needs.

This crash course covers everything you need to know starting from the basics and progressing to advanced concepts. You will learn the ins and outs of R programming, including loading and manipulating data, creating stunning visualizations with {ggplot2}, and exploring the powerful capabilities of {tidyverse} and {tidytuesdayR} meta packages. The course also showcases the seamless integration of RStudio IDE into Posit.Cloud Workspace, providing an efficient and user-friendly environment for your data analysis projects.

For those starting with R, there are several valuable resources available to kickstart your journey. One essential resource is R for Data Science by Hadley Wickham and Garrett Grolemund, a comprehensive and beginner-friendly book that covers the fundamentals of R and data analysis using the Tidyverse framework. Another great resource is the RStudio Education website which offers free tutorials and webinars to help learners get acquainted with R and its functionalities.

Online platforms such as Coursera offer interactive R courses taught by experts, making it easier to learn at one’s own pace.

Lastly, the R community is rich with forums like Stack Overflow and R-Ladies, where users can seek help, share insights, and collaborate with other R enthusiasts. Embracing these resources will provide a solid foundation for newcomers to start their exciting journey with R.

#RCrash | #rstats | #tidytuesday | #KnowledgeSharing | #opensource | #onlinelearning | #RStudio | #PositCloud

Material of the course: –> Go to our Posit.Cloud Workspace

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