This seems to have very little on Data Quality and it is on Chapter 16...How much practical experience in Industry do the authors have? Because 90% of your time will be spent on Data Quality and Data Cleansing...
For instance, my ML work is almost entirely in the context of engineering simulation regression/surrogate development, where data quality/cleaning is almost no issue at all - all of the work is on the dataset generation side and on the model selection/training/deployment side.
Every job is different!