It goes over the basics like FFTs, covers audio features used in analysis (e.g spectral, chroma, etc), and goes in-depth into advanced techniques such as audio fingerprinting, beat tracking, harmony analysis, etc (stuff that you would otherwise have to dig into research papers for!). The book is fairly readable as well so you don't need to have a strong engineering or music background to dig into it.

Some more analysis/MIR links:

Great notebook to go alongside FMP: https://musicinformationretrieval.com/

One of the most widely used libraries for MIR in Python: https://librosa.org/doc/latest/index.html

A library for MIR in JS: https://github.com/meyda/meyda