So basically I started my data science degree apprenticeship a couple months back, and I really want to level up my statistical knowledge (im in the first year of my course). Right now im working through the edexcel further maths texts books, but I really feel like this might be a waste of my time. For example, I just started Further Stats 1, but Im realising there will be a lot of prerequisite knowledge for Core Maths 1, and some from further pure 1. I was planning to do decision maths as well (so I was initially planning to complete the wider part of 4 textbooks during my first year). But now this has ramped up to 8 because of prerequisite knowledge.
I'd use the stats knowledge mainly for python, excel and other data science/analysis platforms. So far what ive learnt I've found incredibly useful, for example I was able to apply chi squared tests to a data science piece for a client, so i'm sure this is the route I'd like to go down.
What do you guys at uni use to study statistics/data science to an advanced level in your first year? How do you recommend I should approach becoming advanced at statistics (I already know my weaknesses etc)?
I feel like you guys might be studying a bunch of different textbooks, so please feel free to drop as many as you like below (practice questions are an absolute MUST, but if you know where I can find extensive practice questions in lieu of them do drop that as well pls). If you're wondering, my apprenticeship is basically teaching us to use multiple platforms like SQL, python and excel, and only some statistics such as regression models.
Thanks guys