I tried looking for books on Data Science, but alas, picking out good ones from all of them is challenging. Do you have any suggestions? Video lectures could also work, but I lean more towards books and documentation.
R for Data Science [1] is well-worth reading. Even if you're not planning on writing much R in the future, the book is a solid introduction to principles & practices, starting from an accessible level.
I'd also argue that it's beneficial to have a decent understanding of R when working with data, no matter what tool you favour. It's widely used, and so interesting things are written with it, and you're cutting yourself off from knowledge if you don't have at least a basic understanding.
ISLR from Hastie and Co is a great intro to Data Science. Math is not too daunting and the examples are very nice. The authors have generously provided a free version of the book for download.
I'd also argue that it's beneficial to have a decent understanding of R when working with data, no matter what tool you favour. It's widely used, and so interesting things are written with it, and you're cutting yourself off from knowledge if you don't have at least a basic understanding.
[1] https://r4ds.had.co.nz/