You don't need to be "good" in R to run DESeq. Just learn how to give experimental grouping information and very few commands to get DE genes. Otherwise, you could use MeV, they have DESeq integrated in the tool, but I have never used it. Still it requires knowledge of R to integrate DESeq to MeV.

The tools that integrates R-packages, requires you to setup them in the back end first, so you should know some R anyway.

There is a RNA-Seq GUI that will allow you to use a graphic user interface and facilitate the analysis through R with DESeq and other packages

Our tool in Array Studio has a DE-Seq2-based UI. Here's a screenshot (using TCGA data to do DESeq):

Björn Grüning has been working on a Galaxy tool, but I'm not sure the definitive url for this.

Here is one landing page: https://registry.hub.docker.com/u/bgruening/galaxy-deseq2/tags/manage/