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@AfekIlayAdler In the 2nd recitation, I want you to cover "principles of tidyverse" a bit deeper. The 2nd recitation should be tilted more towards R and tidyverse than theory.

If you want to show the MLE example, that's ok but first cover data munging in tidyverse and then use the tidyverse commands in the example.

For example, tibble versus the classical classes (data.frame, list, matrix, vector). Also make sure you show examples for all the important commands you mentioned of dplyr (e.g., select, mutate, filter, etc.).

Currently, you are just mentioning them in 02 - MLE.Rmd, but not showing enough of them. Make sure you show a lot of examples.

Maybe even walk through some example of actual analysis providing basic statistics such as average, std, etc.