[This article was first published on DataCamp Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
An entire course by RStudio’s master instructor Garrett Grolemund on performing sophisticated data manipulation tasks using the dplyr package. The free section introduces you to the philosophy that guides the dplyr package, and makes you familiar with the data structures that dplyr uses behind the scenes. Learn More.
The data.table package is rapidly making its name as the number one choice for handeling large datasets in R. Understand how data.table differs from the traditional data.frame and get to know the general form of a data.table query i,j,by. Learn More.
If you already know SAS, SPSS or Stata, you don’t need to spend time learning how to analyze data; you need a course that focuses on translating your knowledge into R. Start with the free section that describes how R integrates the five main parts of SAS, SPSS, and Stata into a powerful comprehensive system. Learn More.
Learn to create static and interactive graphs to display distributions, relationships, model fits, and more. Get introduced to the ggvis package and discover a clear, logical way to think about data visualization. Learn More.Want to see a full overview of all DataCamp courses? Go to www.datacamp.com/courses
To leave a comment for the author, please follow the link and comment on their blog: DataCamp Blog.