r4ds VS viridis

https://r4ds.hadley.nz is free and very good

R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!

One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/

The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/

R for Data Science (2nd Ed), the updated guide from Hadley Wickham

The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.

I just looked and there is now a second edition! https://r4ds.hadley.nz/

I tend to think the continuous color palettes don't look very nice (no matter what the colors are) in various data visualizations. So I often prefer the color brewer discrete smaller sets, https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3

I use the viridis inferno on occasion as well, https://github.com/sjmgarnier/viridis, although sometimes it is too dark.

I do! That's why I used the Viridis color package for R, because it's explicitly optimized for colorblind people.

They use the viridis colour scheme. This is a widely used colour scheme for heatmaps, that has been purposely designed to be as accessible and useable as possible. Colour blindness, printing in black and white, etc.