Stats degree from 25 years ago: What do I need to learn now to get into Data Science?
To my mind you have to start from basic understanding of what is Data Science, and what are basic concepts, before going deeper. You could almost be pretty good at data science not knowing a lot on statistic, since the global logic behind what you are doing is often way more important than the exact statistical detail.
I'd really suggest you to start by finding a global point of view, of what global concepts are, and what's the global process behind analysing data, and then you could go more specifically onto many things, like how models work, what are the precise issues you can encounter in your analysis, in your model building, what are different types of variables, how to handle them, what is &quot;parameter tuning&quot;, ... but only in details in a second time.
I don't really have books to recommand you, since I just ended my studies, and my different teachers already provided me a lot of information to learn and work on, but to me the most important thing is to first understand global concepts and global logical behind data science, so you're not just applying technical things with making huge logical mistakes in the same time.