Learning EEG for thesis
I'm a master's student in cognitive science, and for my thesis I'll most likely be using EEG to measure people's responses to visual stimuli.
I've started with some courses, like Mike X. Cohen's neural time series, but I found it too difficult, so I switched to his book, Analyzing Neural Time Series Data. The book seems easy to grasp, but it's also quite long, and I'm looking for a more efficient way to learn EEG well enough for my thesis.
Could yall recommend the most practical way to learn EEG for research these days? Also since I'm comfortable with python, do I still need to learn MATLAB, or can I do an entire EEG workflow in Python (e.g., MNE-Python)?
I also have to mention that I'm not particularly good at the math required. How much math do you need to do a an experimental research like the one i wanna do for my thesis?
I'd appreciate any advice from people who have learned EEG recently. Thanks!