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Filters are rad because...: Besides isolating rather narrow frequency bands filters can also restrict your signal to a broad frequency range. That is a super common use of filters.
Why not start with a tim-series signal that contains more than two oscillations? Way more realisitic and more eye-opening when taken apart into bands.
Maybe start with an acausal filter (filt instead of filtfilt) to later point out the shift caused by this
Impact of filter order! e.g. via Kernel width, make a note towards pre-stim vs poststim situations where smearing might be something you want to avoid / keep control of.
Not sure if "Complex_Signal" is a good name for that time series. Gets confusing when talking about complex numbers in a later tutorial (phase+amplitude measures)