# Wrap Up: Dataiku DSS for R Users[¶](https://knowledge.dataiku.com/latest/courses/advanced-code/r/course-complete.html#wrap-up-dataiku-dss-for-r-users "Permalink to this headline")

## Congratulations![¶](https://knowledge.dataiku.com/latest/courses/advanced-code/r/course-complete.html#congratulations "Permalink to this headline")

You’ve just completed the **Dataiku DSS for R Users** course, where you gained experience using the integrations between Dataiku DSS and R.

Here are a few of the main takeaways from this course:

* Although the platform offers visual recipes that enable collaboration with a wider base of colleagues for routine data operations, Dataiku DSS also has code recipes, including **R recipes**, that provide R users the freedom to code in R.

* Users can write R code within DSS (in places such as recipes, Jupyter notebooks, Shiny webapps, etc). However, they can also use the same R API outside of Dataiku DSS – for example in **RStudio**.

* Dataiku DSS offers **code environments** to manage code used in projects. It also has options for reusing code across projects through **project libraries**, including the option to import code from git repositories.

## Learn More[¶](https://knowledge.dataiku.com/latest/courses/advanced-code/r/course-complete.html#learn-more "Permalink to this headline")

Now that you have completed this course, you may wish to consult the product documentation on DSS and R for more information. When ready, continue progressing on your Developer learning path!
