Really, it is 'possible' to analyze EEG data in any software; most of the analysis is just basic math. However, there are open-source toolboxes in MATLAB and Python (e.g., EEGLAB, Fieldtrip, ERP PCA Toolkit, mne-python) that have already implemented most common tasks and will save you a lot of effort. R also has some stuff (e.g., I see an eegAnalysis package on CRAN) but I'm not sure how extensive it is.
There is a comprehensive guide by Nienke Meulman ( https://www.nienkemeulman.nl/materials) that shows how you can import the raw EEG files into R. You save the end-product as .rdat files I believe, but if you really wanted to you could probably also export them to .csv.
On the same website is also a tutorial on how to analyze this data, if you were to use the event related potential method.
As an active field of research and with the development of state-of-the-art algorithms to analyze EEG datasets, the parametrization of Electroencephalography (EEG) analysis workflows has become increasingly flexible and complex, with a great variety of methodological options and tools to be selected at each step. This high analytical flexibility ca...