As the other commenter said, probably the best resource out there is "R for Data Science" by Hadley Wickham, the architect of the tidyverse. It will get you up and running with the most important parts of the tidyverse (dplyr for data manipulation, ggplot2 for data visualization, tidyr for general data cleaning utilities, etc). Its available online for free here: https://r4ds.had.co.nz/
The “R for Data Science” book by Hadley Wickham (creator of tidyverse, and I believe he is chief data scientist at R Studio) is hands down one of the best introductions to data exploration and analysis.
To add onto others’ answers, Advanced R from the same author dives more into the inner wirkings of R (such as lists X vectors, what are classes etc). It helped me understand why my code works the way it does.
The TidyVerse is a opinionated group of R packages that all function similarly. ggplot2 is in there, and I already use that one.
I do like R for analysis. (I choose to use it over excel or Stata for my data analysis/ classes), though I wish the help pages were better.
Its a hard language to grok, even the data type names are unclear (data frame, vs matrix, vs vectors..). I'll take a look at the tidyverse packages.
https://www.tidyverse.org/learn/
any additional learning resources you'd recommend?